{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Explorative Data Analysis on Sentinel-1 SAR data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Morten Dam Joergensen, <mdj@mdj.dk>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import glob\n",
    "import zipfile\n",
    "import functools\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "mpl.rcParams['axes.grid'] = False\n",
    "mpl.rcParams['figure.figsize'] = (12,12)\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "import matplotlib.image as mpimg\n",
    "import pandas as pd\n",
    "from PIL import Image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import tensorflow.contrib as tfcontrib\n",
    "from tensorflow.python.keras import layers\n",
    "from tensorflow.python.keras import losses\n",
    "from tensorflow.python.keras import models\n",
    "from tensorflow.python.keras import backend as K\n",
    "\n",
    "config = tf.ConfigProto(log_device_placement=True)\n",
    "config.gpu_options.allow_growth = True\n",
    "\n",
    "session = tf.Session(config=config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "folder = \"/home/mdj/Datasets/segtest_gray\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_train = pd.read_csv(os.path.join(folder, 'target_mask.csv'))\n",
    "df_train_clutter =  pd.read_csv(os.path.join(folder, 'clutter_mask.csv'))\n",
    "df_combined = pd.concat([df_train, df_train_clutter])\n",
    "\n",
    "ids_train = df_combined['img'].map(lambda s: s.split('.')[0]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train_filenames = []\n",
    "y_train_filenames = []\n",
    "for img_id in ids_train:\n",
    "  x_train_filenames.append(os.path.join(folder, \"{}.png\".format(img_id)))\n",
    "  y_train_filenames.append(os.path.join(folder, \"{}_mask.png\".format(img_id)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train_filenames, x_val_filenames, y_train_filenames, y_val_filenames = \\\n",
    "                    train_test_split(x_train_filenames, y_train_filenames, test_size=0.2, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of training examples: 7700\n",
      "Number of validation examples: 1925\n"
     ]
    }
   ],
   "source": [
    "\n",
    "num_train_examples = len(x_train_filenames)\n",
    "num_val_examples = len(x_val_filenames)\n",
    "\n",
    "print(\"Number of training examples: {}\".format(num_train_examples))\n",
    "print(\"Number of validation examples: {}\".format(num_val_examples))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['/home/mdj/Datasets/segtest_gray/Clutter/1664-6528.png',\n",
       " '/home/mdj/Datasets/segtest_gray/Clutter/7808-25984.png',\n",
       " '/home/mdj/Datasets/segtest_gray/Clutter/11392-30080.png',\n",
       " '/home/mdj/Datasets/segtest_gray/Clutter/10624-35712.png',\n",
       " '/home/mdj/Datasets/segtest_gray/Clutter/10624-10624.png',\n",
       " '/home/mdj/Datasets/segtest_gray/Clutter/4992-17280.png',\n",
       " '/home/mdj/Datasets/segtest_gray/Clutter/13952-2688.png',\n",
       " '/home/mdj/Datasets/segtest_gray/Clutter/8832-2944.png',\n",
       " '/home/mdj/Datasets/segtest_gray/Clutter/384-1664.png',\n",
       " '/home/mdj/Datasets/segtest_gray/Clutter/384-31360.png']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train_filenames[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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hLq/pDuDrnfP5MPBR4JWdY/0Q8HsiEr3StV3F/fmngbcB3wqMA2ng/9/luT4vvNQEehDYMsY0nmHbame75UFjzCeMMS1jTPmiff8h8CljzAPGmBptMTRXOPavGmPKxpjjwHHgFgBjzDFjzEPGmEbHmv9D2l+cZ0Md+A1jTJ32l3sQ+F1jTN4YcwI4AbzsKo77JuCEMeYvO+/VfwbWuo7zbuA3jTFPdra/D7hVrWhFeV6xVvTfA54Clrs3GmPuN8Y81rmHfZ32Itr+H6/TFsI5Y0yzcz/IdT39RuB+4FeMMf8NoGNhfxfw/xpjisaYDeB3gO/rPOftwH8yxiwaY3aA39zl9Zw1xvwPY0wT+BjtxcOvGWOqxpjPATXaYn2la7vS/fndwC8ZY5aMMVXgvcA/7MVQZs+d0HVmCxgUEe8ziPRYZ7tl8TKvM9693RhTEpHtKxy7W+BKQBRARA4A/5H2ijNM+zM5doXXuhTbnS83fGM1vN61vXyVx734+oyILHW9zh7gd0Xkt7seE9qr1PPP8twVRdkdHwT+DpjhIvc2gIjcAfw74GbADwSAu7ueOwV8VNoJsh+iLVr1zvYfBE7T9qRZ9gA+YFVE7GN9fONeccF9g93fCy6+V2GMudT963LXdqX78x7gr0Sk1fVYExjhokXOC81LzYJ+EKjSds06RCRCe2V4b9fDl7OIV4HJrueHaK9Gnw3/lfbqd78xJk7bdSyXf8o14XLHvfj6pPtv2l/+dxtjkl0/IWPMl5+H81YUBTDGnKedLPYmLgrbdfgw8ElgyhiTAP6Azv/xTv7NrxpjbqQdvvpuLoxpv5e2wfJhG2Om/f++Cgx2/b+PG2Nu6mxfpS36lulrcJmX4pLXxpXvz4vAd110/woaY3pKnOElJtDGmCztJLH/IiLfKSK+TpzlbmCJ9qryavhz4M2dJAZ/5zWfrajGgBxQEJGDwE88y9e5lsf938DhTpKZF/intOPblj8AfkFEbgKXOPK9z9N5K4ryDf4J8O3GmOIzbIsBO8aYiojcDvyA3SAi3yYihzvim6Pt8m52PbcOfC8QAT4oIn3GmFXgc8Bvi0i8k2w1KyLWtfxx4KdFZFJE+oGfv9YXezXXxpXvz38A/IYNyYnIkIi89Tqe67PmJSXQAMaYf0/bWnw/7S/mV2ivqF7fiUdczWucAH6Kdpx3FcgDG7RXl7vlX9H+cuVpJ3V97Fm8xrPhksc1xmzR/s/574Ft2vGor9G5PmPMX9EuVfuotLPcH6ftgVAU5XnEGHPGGPO1S2z+SeDXRCRPOw778a5to7SFLAc8STsZ7IIks0789nuAYeADItJH28r2A0/QTq76c9rhQWjfRz5LO8fmYZ7Zqr9WXPLaruL+/Lu0re/PdZ7/EO0EtZ5DjLlSbpNyJTqZhRna7uKzL/T5XGs6/zGXgB80xtz3Qp+PoijK1fJivj+/5Czoa4WIvFlEwp349fuBx4BzL+xZXTtE5I0ikhSRAN+ITz/0Ap+WoijKFflmuT9fN4HuxHhPishpEbmesYgXircCK52f/cD3mW8ud8SdwBnaiSJvBt72DOVmivJNyUvg/vXNzjfF/fm6uLg7iQdP067PWwKOAt9vjHnimh9MURTlGqL3L6VXuF4W9O3AaWPMfCfR4KO0VzSKoii9jt6/lJ7gejUqmeDCgvUlLpMl5/P5jMfjoa+vD2vR9/X1EQgE3D7NZpNareb26evro9Vq4ff7aTbb1QG1Wg2Px+New+5n/45Go1SrVZrNJh6Ph1arhS247z4uQKPRQEQwxmCMwePx0Gg03D72tRuNBh6Px71O93MAAoEArVaLarVKLBajWq3i9XoxxtBqtajX63i9Xvc8EUFE3PFFxF2fx+Nx74E9j2aziTEGr9frrssev/s8+vr6sO+xiFCv1wmHw5RKJZrNJn6/3x231Wrh8XhoNpvueR6Ph2q1SiAQoNFouM+j+3PrPv++vj78fj+tVsudfzAYpFKpXHCt9Xrd7S8itFot93nY/eznZPdrNptUq9UtY8zQrr6VinJ17Or+Be2xsNf1jJRvOowxVyzNvV4C/UwHvuALLCI/Dvw4gM/nY2xsjHg8TqVSIRaLEYvFOHDgANlslkQiwcLCAvV6HZ/Px8zMDF/4whcolUoMDg6STCaJxWKcP3+eWCxGOp2m2Wzi9XopFoskk0knsMViEa/XSzKZdEL3Ez/xEyQSCRYXF/nMZz7D+vo6lUoFaIt+oVAgEolQrVYxxjjRnZiYoNVqsbm5idfrJRqNuuvz+XyUy2UWFxcJhUJ4vV48Hg/T09NO5IrFIpFIhPHxcUqlEqdOncLj8XDDDTeQyWT4+te/js/no1Ao4PV6aTQaBINBgsEg5XLZnUdfXx/hcJhWq0UikWBzc5ORkXbf+2Kx6BYB9Xqdra0tJ8DZbJZoNEoqlXLCHwwGeeMb38i9995LOBzG5/MBUKlUKBaLF4j+5OQkrVaLpaUl0uk0wWAQn89Ho9Hg5S9/OcFgkFwux/nz52m1Wuzs7Lj3IJlsT/fM5/NAW7xjsRiFQoFCoUC5XCafz9NsNgkEAsTjcbxeL61Wi9nZWe6++27tWKZcL654/4IL72GKcj24XgK9xIUdZSZpB+sdnf6u/w0gHA6baDSKz+ej2Wzi8/moVCpks1lKpRJnz54lmUzS399PPp/n2LFjpFIp+vv7aTabTrBuu+02lpeXWV9fJ5lMEo1GnThubGyQz+cJBAJEIhFqtRrVapVIJMIf//EfU6lUCIfDeDweYrEY09PtJjhPPPEErVaLTCaDz+cjGAzSarVIJpNUq1VnYVrr2ufzkc/nnZBbS7uvr49MJsPg4KATy/n5ecrlMvF4HL/fz/r6Ovv373fW5+zsLPV6naeffhrgggVALBZzlvv8/Dx+v590Os3AwAB79+4lk8ng9Xrxer1UKhU2NzdJJpPO2q7Vani9Xvr6+sjn89x5550kEgkymQwnTpxgZmbGiTu0PQOpVIpGo0E2m2VgYICdnR327dtHoVCgr6+PUChEtdouNbztttuo1+t89rOfpVKpYIxhcHCQer1OqVTC7/cTj8eZnp7G4/Fw+vRplpeXmZmZIRaLMTQ0RKvVcgu2I0eOUCqV+PrXv47fv+thX4qyG654/4IL72FqQSvXg+uVJOalnWTxetq9TY8CP9ApIP+/CIVCZt++fcTjcTY3NxERJ6R+v5+bbrqJL37xi8TjcWq1GgClUskJXTAYJJFIMDAw4IQqEAiwsbHhhNVan5lMBsAJRjAYZHh42AlePp9nc3PTudD37dtHJpNhZ2eHbDaLx+Nhbm6Ov/3bv2VqaopoNEoul6PVahGJRGg2m9xwww2srKyQzWbJ5XJOKAOBAFNTU84qPHfuHKurq040+/v7ue2220gmk6yurlIsFqlWq4gIoVCIUCjE1tYW29vbVKtVZ4EXCgWy2axznff393PkyBGWlpace966l6vVKtFoFL/fT6lUcmI7PDxMs9lkYWGBcrlMMplkeHiYra0t1tfXmZubY21tjampKW655RaefvppjDH4/X42NzdZW1ujUCjg9/vdZwAwMDDgPq8777yTs2fPOs9Fs9mk0WgwPDyMiODxeCgUCuTzeaLRKLVaDWMMxWLRLaAmJyeZmJjgt3/7t48ZY45c8y+v8pJnt/evznNUoJVd8YK5uI0xDRH5Z7S7yniAD1zuyx2NRrnjjjsol8sMDQ1Rq9UoFovkcjl2dnbY3Nx0AlMoFKjX64RCIQKBgLOmBgYGmJub47HHHnMWmtfrZXp6mmKxSKlUotFoEA6HSafT9PX1USgUCAQCbG5usrCwgIgQDAYJh8NuIfDYY48RDAbdYqFcLlOr1XjLW97C0aNHnYvWGOPiurVajXK57ERmcHCQcrnM8PAwjUbDCdTQ0BCHDx/m3LlzFItFbrjhBm699Va+9KUvMTIyQqlUIplMugXDxsYGw8PDhEIhSqUSPp+PJ598kmKx6FzRW1tbBAIB8vk8Pp+Per3uFhCDg4Ps7OwAbde9dUlHo1E2NjYoFovO/Z7P51lcXKTRaOD1ellZWaFQKHDzzTdz4MABjh49Sq1WY3x8nImJCWZnZ3nkkUdYX1938WRoC7NdgDz44IPE43EikYh7XXtd2WzWuftzuRybm5suPFEqlZibmyOfz7O+vs76+jqKcr3Y7f1LUa4X122alTHmb4C/uZp9bezTCkStVqNSqVCr1UgkEogIfr/f7VepVGg0Gmxvb5NIJAiFQgCsra2RSCQol8uICPF4HIBwOEwulyMSiRAMBl18dmdnh1arRS6Xc5ZaMBhkcHCQWCxGsVh0SVA2Fh6JRKhUKpw9e5ZEIuFctj6fz1mlx48fJ5lM0mg0qNfr9Pf3u3hsf38/oVDIWfWBQIBEIsHo6CiRSISvfvWrhEIhFhYW3DmNjo6ys7PjYs72PbMLBq+3/TEODAw4S7tUKlEut8uW7SJka2uLSCSCiBCNRonH45RKJc6dO4ff76dSqeDxeEin08RiMcLhMJVKxbn4g8EgCwsLpNNpqtUqwWAQr9fL6uqqCxk0Gg33Y59vjHHXm0gkiEajVCoVAoEA2WwWwCW3ra+v4/F4eOtb38q9995LNpslEAjQbDYZGxvj/PnzeDweFOV6spv7l6JcL3pi3KS12KxrtFarEYlECAQCLn46OjrK9va2E5fh4WHC4TCJRIJwOMyDDz7I4OCgE+/l5WUnIqFQiKmpKSdAo6OjPP744xSLRRcXrlQqTExMsL29zcjIiFsUNJtNlpaWnNBC2/oMBAJuMTE2Nkar1aJQKBCLxWg2mxSLRZrNpktis4la9nrq9TqRSIREIuHi12fOnCGZTDI5Ocng4CAPP/wwxWKR06dPEwqFCAaDDA0N4ff7GR0d5dSpU8RiMYaHh52LfW5uju3tbbLZLI1Gg4GBAVqtlhN3G9/f2tpyrnS7GIJ20tbIyAitVoutrfb0zRtuuIF6vU6hUGBtbY1Tp05hjGHfvn2cOnWKM2fOuOQ1aIvty1/+chc2ADh27BitVov19XWWl5cZHR1lY2ODVCrlrHuPx+Pel/n5eSYmJigWi+47srq6itfrdQsPRVGUb2Z6ohd3OBw2r3rVq6hWq7zxjW/k8ccfd4KxsrJCsVhkamqKnZ0d8vk8Xq+XUqnE+Pg44+Pjzk2byWQoFouUy2XK5TI+n49wOMza2hr79+93WdhLS0vOyvN6vRQKBaBtadbrdRdHDYfDxGIxcrkcfr+fWCxGJpPh9ttv51WvehWnTp3iM5/5DDfddBPpdJpjx45RqVRceZFdYPh8PkZH28OglpaW2NnZYXp62nkEbKmUXUQsLS0xPDxMOp12FqiNI9vkrtnZWXK5HMFgkMXFRUqlEiJCLBZzlrtdZEDb1Wxj+F6vl7GxMWKxmLPWs9msi/kWCgXe85738IlPfMKFE8LhsLN2bfKYz+dz5VhW+O1iI51Ouyz3O++8k/X1dff5WJd9IBBwn9OhQ4cQEXK5HIFAgFQqxeDgIAcPHuTpp5/m1KlTAK7c61Of+pTGoJWeQWPQym65mhh0zwj0/v37ERHe9KY3USgUOH/+PNvb24TDYVcalcvlaDQalMtlgsEggUCAu+66i1arRT6f56677uL+++932b87OzuMj4+77OZcLufi0fV6nUAg4MS32Wy6pKVgMMjo6Cibm5u86lWv4rHHHiMQCNDX1+eEL5VKsbW1xWOPPUalUqGvr49oNEqxWMTv9xONRhERtre3mZiY4PDhw6TTaba2tty+N954I0899RSJRIJ0Os329jbBYJDt7W3y+byzQIvFIgcOHGB2dtbVBw8MDLC0tMSDDz7oPAXhcJhGo+HCAdblbEMAjUaDG264gVgsxuTkJEtLS4TDYe6//36GhoYYGBhgZWUFn89HOp3m9ttvZ//+/Xz+85/n4MGDGGN44IEH3PVWq1X27dvnFiV+v5/t7W0XTrDlUQMDAy5Ovri4SCaTcfXj0M5BsO99PB7n0KFDHD16lFKpRCQSYXh4mFQqxfLyMqFQiGw2y5e//GUVaKVnUIFWdsuLRqCj0ah5wxvewKlTp1yilo3p1mo1F9+sVCo0m032799PqVSiWq1y+PBhbrzxRlb3Y9hfAAAgAElEQVRWVjh79qzLzs5kMk6oi8UitVqNXC5HKpXi4MGDzi3bbWnbRKXp6WmeeuopNjc3CQQC+Hw+QqEQIyMj7Ozs0Gw2+dZv/VYeeOABTpw4cUGTDq/XS7VaxefzMTAwQCqVIpfLMTMzQzgcdlnnlUqFZDJJOp1mfX2dnZ0dVldXneWYy+Wo1WpuwXDHHXfQ399PpVJhe3ubVCrFxsYGJ0+edElxNjGs855eYHFb4d7e3mZoaIiZmRmazSZra2sUi0XGx8dptVqsra0xNDTkktlswpvN2B4aGqJYLLq49OzsrIuvQ9tyLhQKrs7ZNlxpNpv09/eztrZGuVx28Xqfz0cgEKC/vx+fz8fq6iorKysYYwgGgy6bPhKJ8C3f8i1sbGwQjUb5yEc+ogKt9Awq0MpuedEIdCgUMgcPHgTawmKMcS5oa/3ZRK++vj7XoASgUCi4JKtarcbi4iL9/f3Mz8+75iA7OztEo1GXuGQtun379rG5ueliylZoFxYWOHz4MI888gjDw8POlWxF77HHHqO/v98lbNkYrs1KBpiamqJcLpNKpfB4PExOTlIul6lUKlQqFfL5vCs5shZkIBBgZGSEjY0NoN28Q0TYu3cvt912G/fdd5+rN45Go5w6dYp8Pu+EtFAoMDw87OLuHo+HtbU1RkZGWF9f56abbnINX2zc33YPGxsbc3Xofr/feRsGBwc5ceIEP/ZjP8YXv/hFRkdHnfVthdlmr3s8Hs6cOYMxhmq1yuzsrMtg/9KXvnRBI5O+vj7i8bhbDIgImUyGs2fPujp1GyYwxrCzs8Pg4CB33XUXxhj+6I/+SAVa6RlUoJXd8kJ2EtsVVmBsIxCbHVwqlfB4PK6zVzAYdFnVtn3k5uYmAHv27MHr9TI1NcWJEyeoVqvk83knHMYYwuEwwWDQtbW02c/WlXz27FnC4TBve9vbePLJJ9m7dy+lUskd+9y5cxhjnNgHAgE8Hs8FXcmWlpbweDxsbW3h9XqJx+PU63WOHTvmBKpcLrt6YxFxSV62k1owGKRarRIOh0mlUgSDQe677z5WV1fda9jkrlarRTabdY/39fVRqVSYnJxkbW2Nra0tyuUysViMw4cPMz4+ziOPPEI+nycSieD1eslkMk4EI5EImUyGSqVCKBSiUqkwMzPDo48+Sjwed9cO7bj2zs6Oe327QGm1WrRaLRYXFy9YNNgwAnwja9t6OmKxmAtb2C5r1htgrXeAw4cPu8YtiqIo38z0hAUdjUbNXXfd5cp1wuEw0WjU9Zfe2dlxSVNDQ0NOqAKBAPv27WNlZYVKpcKtt97K3NwcDz/8MJlMxonY2NiYq622Wc2A6wCWSCQ4cOAAd999N8lkEq/Xy9bWlqulrlQqlEollwUdCASIRqMu+9gmR9kMbtuj2saiq9UqS0tLrg844OK2pVKJ4eFhl8S2s7NDLBZzYp1MJvH7/Zw+fRqv1+vqjH0+n4tFnzlzxiWTDQ0NOc/B6uqq8xoUCgVGR0ddnbZdnNi4ry1vsi1O+/v7XVKdDS8Eg0FWVlZc05VbbrkFYwzb29sA+P1+V4a2ubnpvBzpdJpMJkMymaRQKLiFxPj4OG9+85v52Mc+5rLxl5eXnWU/MDDAnj17yGQyzM/PuwXB7Owsx44dUwta6RnUglZ2y4vKxT0xMeHKoaxl2W1lWaGzcWVrKdp2lzbuOTo66jKZU6kUyWSSkydPUq1WSafTrquXjREvLS25LG5bwlOpVNizZw+FQoFms+mabtihEdYVbIUK2l6AZDLJ4OAgR48edVbmxMQEW1tb5PN5crmcG9Lh8/kYHBx0VmWr1WJqaopwOEx/fz+Li4su2evIkSM88MADrkGH9TC84Q1v4Pz58zzyyCMuVm2z34PBIDs7O86VvL6+7qzUSqXiFkA2nLC+vo4xxtWKJxIJdnZ2XEOYY8eOEY/HXX034IaVeL1e/H6/i//7fD6GhoaYn5+nUqkwPDzMnj17ePzxx1ldXaW/v5+hoSEKhYIbJNJqtdz7aXMDSqWSG0gSjUbZ3Nyk0WiQTCb5yle+ogKt9Awq0MpuedEItN/vNwcOHEBEOHfuHLfccourIV5aWnI9tO1EI8BZetaSLZVKQDtW/e3f/u2IiBscMT8/z/r6OuFw2NUD+/1+qtUqiUSC48ePO0vaNiexrnRrUVtr25Y72UlUPp+PtbU1ZmdnGR0dZWlpiWQyyaOPPurird0JZDs7OxhjmJubA74h+tYC7uvro7+/3/Xutu08oR1v37t3L7VajfX1dfbs2cPa2prrl3327FkCgQDhcJipqSnq9Trj4+OsrKy4yVTZbJa+vj4ikYiLHZ8/f96JY6vVolwuMzg4SLFYdDH7dDrtStw8Hg+lUsm19kylUmQyGfx+v3OLJxIJ163t0KFD1Go1VldXXRexWq1GKpWiUCjQaDTw+XwsLCy4srdWq0U4HGZra4tms8nExATGGMbHx8lms3z1q19VgVZ6BhVoZbe8aAQ6FAqZO++801m4dthELBZzjUlsy896ve5E08Yprbs4kUiwvLzMjTfe6Cw0W3cbjUbZ3t52ZT82Uaq/v5/NzU03jckKtS2p8vl8zqq0fbFtqdfIyAjb29uuB/fa2pqz0G28vNlsUi6XL+gnLSLs37/flY/VajXXH9vWPrdaLZaXl103tUKhwOTkJIcOHXIx+z179vDpT3/auaKtkNvX8Xg8hMNhQqEQ5XKZSCTC+vq6mxxl3f7W6+DxeMhkMhQKBbcAsqVQ1i1tXdTNZpNoNMra2prbz35W3UlrNpxgs7SHhoZ44oknCIVCDAwMuEXS+vo6Gxsb7v2AdkMY65a3bV4TiQTVapXHH39cBVrpGVSgld3yokkSs9Yq4Bp7+P1+ZzUPDg662KZ1BwOuZSa0E72sy7tarbJ//34qlQqnT592LnObIBYMBimVSq61Z61Wc5nR9XrdibvNmE6n00xPT1+QBAVtAanX6871bIW20Wi4xip2UVCpVJiennZxaWtt2/nIdlylHbdYq9WYnJwkm806l75NuHrZy17Ghz/8YVZXV531DDiXvI1zBwIB9uzZw+TkJEePHqXVajE2NuY6cVWrVVfCBu1kLJusZ63ter3u3PmDg4OUSiXnhrZhBFv+Zc/bNjwZGRmhWq2Sy+UIhUIUCgVKpZIbGGIbulir3vYut9O/jDHE43FGRkb42te+Ri6XI5vNkkqlnodvpaIoygtLT1jQ4XDYHDp0iGazSSgUcpbowMCAi0WHw2F2dnZc68dKpeIsV1uSY8XTWrF2yMPc3JyLZdrkKBtvts07IpEIOzs7NBoNMpmMm5UMuAlR0F4UNJtN1tfX2dzcJBQKkUgk3PCJer3O9vY2g4ODbo7zwMCAGwRi51UPDAzg8Xg4deoUe/bsAWBjY8NZ0DbjPJfLUSgUiEajzMzMOAH0er3ceOONFItFPve5zwFty9m2FG02m8TjccLhMKurq4yNjbmEt1qt5hqL2DpnwCVm2Tag1WrVDRSxwz/8fj+NRsO934VCwc2itnFwW642NjZGoVBw9d22l/nCwsIFM67D4TCveMUryOVyfOUrX3GfrdfrdQuvXC7H1NSUa77yta99TS1opWdQC1rZLS8aF3c4HDazs7O0Wi1qtRrJZJJIJEI2m2V2dhav18v58+dZXFx0rmMRuWAAg+2LHYlEOHXqlLPI9u3bRz6fJ5lMuiYfOzs7+P1+RkZGmJubY2FhgVqtRiwW48SJE27GtO1itbm5SaVSuUD4/X6/Sy5rtVp4PB5SqZQbDDE6Okqj0XACt7Cw4DqX2aEg+/fvJ5/Pk8lkaDabrvlINBp1ncpsBrX1Mth6bI/H47KnjTFuaIZtu1mv193CJhAIuEEi/f39rmFIqVRyVr/tcDY1NcX29jatVsuN/cxms+66bN1yMBhkaWnJDbOIx+MMDg4yPT1NLBZjcXGR7e1td46jo6O0Wi36+/t58MEHXW/zYrHIkSNHXOa3TWSzfbe7cw3swmVwcJBPfvKTKtBKz6ACreyWF41Ah0Ih87KXvYy9e/cyPz9Pf38/IkK9XncuXGs52hs24EpzfD4fhUKBarXq3NO23rhUKjE2NsbJkyeZnJx07myAer3u3L4+n4/Tp0+7ZDNrIdrf7WCOZrPpsovtLOhEIuHqtzc3N/F4PNx444309fWxtLTE8vKys9ytqNtz37dvHwsLC65m2y48rKvbWtI7OzuuLalNKBsYGHDJXoCbfmVrx+2860aj4TLGa7WaE2hbCgbtSVjNZpPV1VWgnZUei8VcHN/WjttYul30WPd4s9kkEolw+PBhCoUCm5ubTmAbjQaVSoWBgQHC4TCLi4vOK5FOpymVStxwww0MDg4yNjZGvV7nzJkzrK+vu4Qy6/62YYZHH31UBVrpGVSgld3yohHoYDBo7rjjDiKRCKurqyQSCYwxbGxskEgkyGQyjI2NuQxhwLllbamQz+cjFouxublJoVAglUo5cbB9nqempgiFQqyurlIqlQiFQk7cvF4vIsI73vEOPvrRj1Kr1ZiammJxcZHNzU2GhoZcDPncuXNkMhl3HoFAwDUlKRQKxONx11d7fHyct7/97XzgAx8gnU67sqZqtcrU1BRTU1PucRs7XlxcdCVg1s1rxW5oaMiNiTTGuDi0daW/613v4nd+53doNBrceuutDA8Ps7CwwMLCAn19fa7G2GaWHzp0iDvuuIMPfvCD7v3N5/OEQiH3vqbTafr7+11zlmq16sIQHo+HUCjkGsvYBYSdTgXwlre8hT/90z8lHA67z8uWUtmuYnaRZMdQxuNxstksa2trbh64bWRTqVQ0SUzpKVSgld3yohLoV77yla4kKR6PE4lEOH36NHfeeSeDg4N87nOfcwlVgHOB24zp1dVVRkdHGR8fv6Clpk1Q8vl8rld1MBgkk8m49qGHDx/m5ptv5stf/jKFQsFZ2LaO2I54tBnPAFtbW6ysrLgEsEqlQrlcZm5ujmAwyNbWlktqs2Jdr9eZnZ2lWq26ZLZgMOj6Vp8+fdr1Ea9UKlSrVVd2ZbOjbSa5Mca187RtUUdHRzl58iQTExOICMlk0sXuu2ubrRchFosBkMlkSCQSADz88MMMDAzQ19dHsVgkn89TLpc5cOAA6XSakZERMpkMIkJfXx+Li4suJm27jsViMb7t276NRx55hPn5ebdgyuVyToSNMQwPD5NMJqnVamxsbNBqtZwnwg4rsTO3bUZ7q9XiyJEjfOhDH1KBVnoGFWhlt1yNQPc9HydyJexN27qUy+UyKysrLuP48ccfd0lF9ue1r32tq0e2VpeIsLi4SC6Xc8lV1oLOZDIunmvjwjamu7q6ykMPPeR6Qm9tbbkxi41Gg1KpRDabxefzcfbsWZfkZJOs7GzooaEhBgcHMcZw8OBBpqen3ZhHeyxr7QYCAQYGBlzdr23CYUu4bLmRjS/bbmZWvG1NtB2vabOiAbLZLCsrKzzxxBNu7GMikXBia0uvLm76YoxhdnaWcrns3gOv10symWRzc5Nisejqkm282cbjvV4vqVSKVCpFrVbjvvvuY21tzSX+DQ0NuUQyOxHMDhaxM7qHhobc+2lj7u9///t55StfSSKRIBaLEQgEePTRR1/Ir6uiKMrzQk9Y0OFw2Nxyyy2uS9XW1haTk5OMjY2xsLDg2ltmMhny+bxz89obPeAmLsXjcTY3N5mZmSGTyZDJZJiYmHAtQ7PZrLOQh4eH6evrI51OA22rPBQKOcs2k8k4N248Hndibd3utiSsWq3i9XqJRCKIiJucZSdk9ff3u7nS9jg2m9uKoxVPO6VraGjI9cu2/altly47gQtwQhqLxRgbGyORSLC0tMTa2por+YpEItx0001Au3d5Pp93LuPh4WEAl7VerVbJZrM0m02KxaJbMAwPD7O4uEgymXSZ2s1m0y2cbAmb9TY8/fTTvOY1r+EHfuAHeO973+tCDzaWDO0ua9ZStzXaq6urBAIBxsbGGBwcdG1Njx075mq1m82mxqCVnkItaGW3vGhc3PF43Nx+++1Au2+zz+djfHycfD5PKpXi8ccfdzFOW25kRcpaj4BrjXngwAHOnDlDNBp1rtvjx487K9EmN5VKJVcHXalUmJiYIB6PO3d4Op12/aWtFQs4y9IOqbDHbbVaFItFqtUqyWTSLSCGh4dZWVlx1xuJRNyc6/X1dVe77PP5XBvS2267zVn+VqA9Hg/pdNq1LbVtQ/v6+hARV5pky61GRkbc0IpUKoXf7yebzbpuaNVqlbGxsQvKpmq1GqVSyS2EwuEw29vbbmEC7cVQoVBgcHCQxcVFQqGQi22nUilmZ2eZm5vjgQceoFwuu8+r1Wqxs7PD0tIS8XjcZd1Ho1E3ivPpp5/G5/O5vun79u1z4p1Op13nOJ0HrfQSKtDKbrnuAi0i54A80AQaxpgjIpICPgbsBc4BbzfGpC/3OqFQyOzduxfA1SrbHtK33HILq6urbGxsOBewbQHZXXZUKBQYGxsD2k1LbPnP2NgYwWCQjY0NV2ZVrVadlQwwNjZGNBolHo/z1FNPufIfaz3mcjk329l26Tp79qyL4XbPYbZZ01bMbUmSbehhR0zaZDJrbXd3LLPXbtuA9vf3u3adVliPHz/O+Pg4gHMr1+t1l6m+vr7umq3YJiMDAwOuw5e9Prt9enqaarXKyZMnGRsbIxKJcO7cOVdr3p09bwdsWBe5MYZEIuHc5jYb3RhDoVBge3ubRCLBwMAAX//614F21rj1mNj3ws6rtm5wG3IIBoPMzc2xf/9+vvzlL+P3+7nnnntUoJXnzLW6h6lAK7vl+RLoI8aYra7H/j2wY4z5dyLy80C/MebnLvc64XDYvOIVr3CZ0UNDQ2SzWRez7O4ktry87DKQK5UK8XiceDzuGloMDg5y6NAhnnjiCSYnJ3nooYec+3lzc5NWq+UGYdgpUy972ctcr2orcnYEo03Eeuqpp1w9ciKR4MSJE861a2PntgNWvV5nYGCAbDbrSpOs1X3DDTcQj8cxxuDxeDh9+rQrVbKx9KGhIWZnZ1lYWGBjY4NkMsnw8LBLOgPc4sC6i20dcTgcdvOk7WAPa63fdNNNxGIxSqUSZ8+exev1Ove+XWDU63VyuRwiwuTkJNFolJWVFaLRqMvszmQyrgwrm81Sq9UYGhqiWq0SCoWYnJykUCiwvr5OPB53OQG2TCoejxMMBkmn04RCIcbGxshkMq5pSne2fqFQwOPxuN7dNoNdLWjlWnCt7mEq0MpueaFafb4VeF3n9z8F7gcu++UGnNgZY5ifn8fr9VKv10mlUq73s21UYROLrCVq3bN26tHy8jKZTMZZerVazfXQtj2uK5UKr3vd61xSmRX3O++8k6eeespZ8tbla59vrerR0VFXmw240ZGjo6NsbW05cbaLA8BZ/9YSt32srYvcWozhcJiFhQU3TcrGwu1EJ/ve1Ot1Vw9ts7YrlYoTUJsNby3tfD7vBnNYd7ct+8rn8y4TPB6PAzi3vNfrJZFIMDw87Eq/7OuNjo6Sy+WYmZnh4YcfdoM+bG/wlZUVcrmce45t0zk2NsaePXtYX1+/YBFhB5nYWnZo16FHo1F8Pp/bV1GuI8/qHqYo15rnakGfBdKAAf7QGPPfRCRjjEl27ZM2xvQ/w3N/HPhxgHA4/IqZmRmSyST5fN5ud7OXrdWYSCScQFo3tBVzO4PZJj4NDw+7Xs8bGxuuuYi9ydfrdZ566ilGRkZc+U40GmV2dpaBgQEWFhac1WeF1bquraWcSCSYnJzk1KlTrpQpmUy62dHWVW8tzXq9TrFYdNdRqVRcH2s7XjIUCpFKpVxJlc/ncyVh4XCY17zmNWxtbTEzM0MwGGRtbY2HH34YwNUXLy0tkclkSKfTRCIRDh48SF9fn+t0lsvlOHLkCIVCgS9+8YtuceH1et01W6GMRqO8+tWvdmVm+XzelZVtbm66SVc2Wc5Or4rFYm4RMTEx4ZL9bJmY3+/ntttuc13fkskk0WiUs2fPunMAXKKbHcd5/vx5Dh06xN13360WtPKcuVb3MOAVz8sJK980PB8u7nFjzIqIDAP3AD8FfPJqvtzdxGIx853f+Z3Mz8+7uHI4HHbJQXaEYqFQcAMdrCWYz+dptVou9mktNZvpPTMzw8mTJ0mn087itZabTQ7rTs7q7l7m9/uZmJhwFvfExISLmXYniA0MDLgBHz6fj71793Lq1CkymQxbW1tEo1FndZ89e5ZSqeRqn229d3ffaSvyfr/fddayXb9uvfVWSqUS73rXu3jf+97n4rhra2ssLi66mHkoFGJ7e9uNlrSLB9tO1ZZ+AW5qV7lcplqtuuN1DzCxJWKRSMT11W42mywsLAC4ASJ9fX3OAp6amgLameOAy+K2LUYnJiZcRnkgEMDv9zM6Okq1WmXv3r389V//tfNaeDwe9u/fTyaTwefzcd9996lAK8+Za3UPUxe3slue1yxuEXkvUAB+DHidMWZVRMaA+40xN1zuueFw2MzMzNDX18fhw4cpl8uUy2USiYSzkK1YeL1ewuEwr371q7nnnnuc+7RcLrtRlMVikWg06vpd22SmkydPuqEWiUTCtRMdHx9neXmZ9fV11396ZGTE1R3bBhp2qtPExATFYpFsNksul2Nra4tQKOTqphOJBMlk0gnt+fPnSaVSLvkpGAy6kilbm10sFjl9+jSpVMrNYN7c3KRcLhOLxWg0Guzfv5/JyUkqlQpHjx4lk8lw6623sra25qxsK7CNRsMlgk1MTLgs6e3tbcLhMLFYjGKx6MZY2hGfNmnMduyy3oLV1VWazaYrs7I9s20c2b7/gLtGmyhmr69cLnPo0CG3TzabdaVmpVLJ9QnvHkJi26QGAgHX0azZbPLUU0+pQCvXlOdyD1OBVnbLdRVoEYkAfcaYfOf3e4BfA14PbHclWKSMMT97udcKhUJmeHjYJYfZG7KNN1oLWUTcNCM7CcnGmbtjtW9961s5f/486+vrzhW7trbGnj17KBaLFItF9uzZQ6vVolqtsri4aM/DlTzZoRzVatW1t7THzefz7t9EIuGs0larhV1oWLe8LZUaHBy8YJqWjbePjY25WO/a2hrxeJzR0VHq9TrT09OsrKy4oRQ2xmxrp8PhsGuXaTPNPR4PQ0NDbnERCoWc1Wtd4nak4+DgoPMiWIt9fHycxcVFpqamXO2yFd9AIMDOzo5LWhscHHSDP6rVqpvbfPbsWQAXTnj961/PmTNneOKJJ/D5fC7hrFarsbq66mqbw+Ewc3NzrK+vu8/XehQymYzL8Pb7/SwvL6tAK8+Ja3kPU4FWdsv1Fuh9wF91/vQCHzbG/IaIDAAfB6aBBeB7jTE7l3utYDBopqamiMfjLjsb2tayFRsb193Y2GB6etpZetFoFBFxru5AIOCSsgqFAvl83jUKWVxcpFarsW/fPhYXF9086FKp5Pp227KeSqXiOpnZDO9qteqGWrRaLcrlMn6/H2OMG2phM8xbrRahUOiC1qR2kIXtbga4+uHO+4Axhp2dHRdHz2azFItFN0DDtswMBALMzc2RzWZZXV3FGMP29jazs7O8853v5CMf+YhzO9tEsu6xmdZV7/F4OHfuHAD9/f1u5vL09DSFQsF1LbO1ztaCBbj55pvd8A0bZ//85z9Pf3//BYltqVSKEydOuOla6XQar9fL5OQkHo+HbDbL0NAQPp+PVqtFs9lkcnKSc+fOuaxvO8LTTsk6f/68CrTynLiW9zAVaGW3XNcsbmPMPHDLMzy+TXsFetVY0RIRZ8HaDlOpVIojR45w7733kkgkXCOOQCDA5uYmt956K9lslnK5jMfjsQlEjI6O4vP5XKx6Z2fHTara2tpyvaS9Xi+jo6NkMhnnEraWn+0Nbi1fW3JlS36MMWxtbbl9rCV74MABt2iw06usNWgboVh3t42nRyIRCoUCwWCQW265xQ3IsOJtXdQ2Gc3WKS8tLblzarVabG9v8xd/8ReuY1okEiGTyVCv12k2m+Tzeee2hraFby3g4eFhlwi2srLikuz8fj+xWMx9NtBO2HvlK1/J/Pw8X/va10gmk6TTaSe2NhO80Whw/vx595lms1kXXrDue+sZCAQCAM4D0Wg03EATmxzYarWcK11RngvX8h6mKNeDnugklkgkzPj4ONFolNe+9rUcO3YMj8fj2l729fUxMjLi2m5C2zq2McmRkRG+8pWvuBpZ24CkuwnG9PS0i5UuLS1x6NAh1wAlHA67mchWfG2nMjtKslgsEgqFCAaDLC8vk8vlGBsbY3Fx0dUx+/1+Dhw44HpMZzIZN5wiGAy6c7Edzqx7emVlhUAggDHGNQ2xpVPQ7txVq9VIJBKcO3eOvr4+59K3bmgrstaVbXuW2/CAnTplJ1XZ7PVIJML29jYrKysuy7y/v981gLHvdavVIplMuhamw8PDNJtN9u7dy9/8zd+4rmZ22IXNrLd14Lam3OL3+133NBsiCAQCbhFiE/6mpqbciE+/38/S0hKNRoPTp0+rBa30DGpBK7vlRdXq87bbbqOvr4+FhQUSiYTLErYiMjY25npZW2vQToqynazs3ORMJsPk5KQTOCucJ0+edIIRjUZpNpuuv7QVONtAxA6qsGLv8/nYs2cP6XSap59+2lmXjUbDjaG0LmNr6dVqNarVKtvb265xSTKZdElmtiwsl8s5F36z2WRoaIitrS3nMbD7VatVVw+cy+WYm5uj1WrxxBNPOHe7dS0PDAy4xi/9/f3ufGwP7nq97kZI2r9t29Pz588zNDTEzs4OIuLmXieTSdctrNFoOBe8bYxiPRQ333wzhUKBra0tJiYmKBQKztK33c1SqZSbdw249zmXyzmPRSqVolQquSlifr/fxbdVoJVeQgVa2S0vGoFOpVLmNa95jcuKto04jDHMzMyQy+VcXS3gaoPt7GHbQ9pihdK27+yODQNOqPL5vGbW1KgAACAASURBVHMZ22YnNjHMWucbGxuuiUgymbyg7/bGxgYHDx5kdXXVjbHc3Nzk4MGDDA8PU6vVuP/++13DjWg0yqFDh6jVapw7d85Z3vZ8bPtR2/bTuthtoxbbKzwcDlOr1Th69KhLqLPJbGfPnnUZ4/Y8bWKanXZl3cTNZtNZ8ydPniSbzbrEs+npaaAdfpiZmXGDMexUr27x9Hq9bmEAuNjz2toawWCQyclJVldXXbmWTWazCwA7BMWWqg0PD7tpYhfH7Le2ttSCVnoOFWhlt7yoBHpoaIjh4WFuvPFGlpeXnTVsY5Hr6+tMTExw+PBh5ufnqVQqjI6Ougxsm3gUi8WcC9gKhc1UHh0ddZ22Njc33Vzk7u5atnuXtYptzW65XGZyctL19DbGuMETtsuYLQGbmJgA2vXD8/Pzzo1rE55sP2zrprbu4UOHDnHmzBk3vtFOb6rX6y5BzLqoAWdxFwoF+vv7nWDaHt6lUonBwUH279/P0aNHXd12rVbD7/czMzPDl770Jer1OqVSycXsbUy8Xq+7bO/Xve51HD9+nGw2S6lUcvFjW2Ntk/tWVlYYHx/H4/Gwvb3tYuPW+o5EIqTTaefOf/zxx10fbrvIshndPp/P1Yvb76m1uLUXt9JLqEAru+VFMw+60Wi4Jh3WkrMNLKzlZBOrjh8/7oTjySefZGtrywmuLReyN/pSqUQul6Ner9NqtVhdXWVtbc1Z4qlUimq1ys7OjhsZOTMzw+joqHMt2znTgUDAdduyCU3JZBKfz+dc4XbylS3lSqfTFwy4iMfjzM7Okkgk3ECL7klS1nVu3fWpVMotOOr1OmfOnCGXyznrc25uDsB14RobG2NoaMidj7WUV1ZWGBkZcda4rcG2zVasYNvubfF43A0UabValEoljh8/TqPRcIJrJ2FNTk66/t8bGxsX9PS2ddV2+hW0h2TY/unxeJzJyUl3bMBl4tvJWYVCwbnObQeybDb7PH0zFUVRXjh6woKORv8Pe28aI8l93Qn+Iu+MyIjII/Ku7Lqru6q6+iDZpERJFCnTkiXIkA34kD94L8FewzO7X/bD7BowZoH1h8FiDwxgeAEvPJo1TGs8tmHsaCmQEHWYFslmk93N7uqjqquqK6vyPiPvyDv2Q/E9V3m1Jpsm6WohfkCju+vIioxK5Pu/936Hz0ylUohEIjxirtfr0DQNPp8PhUIBMzMznNCkKAq63S6q1Sp3b7Sn/a3f+i288sorHJFIMiqfzwdZlmEYBruSAUcFgBKn4vE4QqEQtra2cPnyZS7uNOLudDpsvuF2u3kXS7tm4O8NOBKJBLuQ0dheFEWeCBBjnA4A5Nn9cz/3c9jf30exWOTgjJs3b6Jer2M6nbKRCVmNAsDh4SETswaDAWKxGNLpNHw+H2dc0/0hYxAAqNfrqNVqLAlzu93o9/sYjUaIRCJ8aDIMgwtoKpWC1+vFwcEB/H4/hsMharUaut0u+4G3Wi1eF8iyjEAgcMI7nOIuyY98PB7z76LX68Fut7PGfGFhgQ8N5MLmcDisPGgLpwpWB23hUfHYjLgVRTEvXLiAlZUVuFwuPHjwgEel5LTl8XiQSqVQLBZxcHDAI9FOpwOHw4ErV65wQhNpi6kL9ng8WF9fBwDeexqGAdM0kU6nIcsyNE3DN7/5Tbz00kuc5UwjcNp3ky+43W5nJzGSLE0mE06TokhLu90ORVGwurrKmmxJkjCdTtFoNPC5z30OpVKJYx1VVeXULZI19ft9tFotNBoNtFotbGxs8EiavKtHoxGPfpeWlliuVa1W2ejj3Llz7PlNyVqNRoOlXxQIQuYwVMSJ/U1OYrOzs/w5j8eD2dlZfP/73+f7RRpxv9+PeDwOh8Nx4vlIkoQzZ85A13WUSiUcHBxwR0+HoZ2dHciyjLm5OSwuLrIbmyzL7JRmWX1aOE2wCrSFR8VjU6BlWTaJpUvZzLquo9frQRRFZm/n83n0ej2cOXMGvV6PvZ1pHOxwOFCtViGKIux2OxwOB7rdLmw2G+r1OlRVhaZpcDgcaDab6HQ6LHei4uFyueD3+zEYDDCZTBAKhbiDpBzlyWTCWcdk50mdJ0mSjptuLC8v8942EAjA4XCgUChgfX0drVYL7XabdcI+nw+hUAg+n4/dszKZDDtskW6asp3J5nQwGOD8+fOYTCYol8t4/vnnce3aNQyHQzidTvT7faiqikKhgOFwiLNnz2I6naLVaqHT6WBlZQW9Xg/pdJrZ1jSaFwQBuq7zFILG/KFQiF2/aFdMXTIR0oj1vbGxgQcPHnCxJzvV/f19dmkTRZGv0ePxcFevaRp35b1eDw8fPrRIYhZOFawCbeFR8dgUaLfbbS4vL2MymUDTNABHAQtU8BwOB0zTZGkVMaYpizkYDLLGmUIfiLVNhSabzbI5CQVPmKYJWZahKAqPqslKMhQKMaOaGNeU60yM6nA4DJ/Ph1qtBl3Xkc1m0Wq14PP5Tnha+/1+dDodRCIRKIqCdrvNPtiXL1/G5uYm7HY7O32Fw2Hef9M92NnZ4VEwjbOJmEYdPY3qo9Eod8aSJOG9997DdDpFIBCA1+vlkf1kMkEikUCj0WCyWbfbxZe+9CW88cYbnKYFHO2GFUXhicTMzAy2t7f5efZ6PR7Xm6aJhYUFFAoFXiXous5RmmQ+QtpnURT59x0KhaCqKu/no9Eo79Lp95fP57G9vW0VaAunBlaBtvCoeGxIYgC4yDQaDRweHqLb7SISiSAYDHJ3SSEXmqbhqaee4tGo2+3GeDxmtzByJaPHpQxmm83Go28qbKVSCV6vF8lkEi6XiwlYpVIJm5ubXEipw4tGo0gmk3xYoMc6HndJH59Op4hGo3j++ed5X03duMvlQjAYRLFYhGmaXAxVVcXW1hbq9To7aNF4fDqdYm5uDolE4kTc5Gg0wvz8PAzD4E4+nU5jf38fu7u7PAKnkXkoFOKADHIZA3CieJKRCPl201ieDinVapXzrIPBIAKBAB8+SK9M0ZSdTgeTyQSj0QiKopzYb9dqNSZ9EZu9VqvB5XJBFEXcunUL9+7dw3A4xGc/+1lomgZZlv95XqQWLFiw8CniVHTQXq/XDAaDIKlVuVxmTfBxO0gqWETIIr9mKryCIECSJPT7fQSDQUynU1QqFaRSKfJvZnnUysoKKpUK1tfXmTlMBf64vtrpdKJarXJBJ1bzdDqFpmk4f/48tra20Gg02JSDullKjSITEPLQdjqd8Hq9KJfLUFWVR+T5fB6yLCMejyMQCGBnZ4dH+PQYFF/5G7/xG3j11VdxcHDAO+HjUwDqsgVBgNfr5Qxnl8vFtqjRaBROpxPtdhtLS0uIxWIYj8doNptIp9PM2KbDE8VkUkzkcZ9yIm9pmsbd9u7uLnf5tKun/TmNwOnQMDs7i0gkglarxWPz45Iymhj4/X4YhoFbt25ZHbSFUwOrg7bwqHhsRtySJJkrKytMMCISE3kxy7LMHWcul+NCSgYfZNSxvLyMer2OZrOJaDQKWZa5QyMmNe0zv/zlL+Pq1as8NqYiIkkS/H4/9vf30Wq1MJ1O8cwzz7BeeDweQ5IkPgwMh0NmKFPn7PP5OOaRXLxoVE2PSdIkAJxOReP1druNUCjEPtjRaJR3wA6HA7qus4FIvV7H3t4eptMpX5coikgkEtjd3eUMbU3ToOs667GJPEamJuRaRjtpOozQgSYYDGJxcREAcO/ePXS7XSiKwp21YRh8/+j5kn0pWYzSfSZpmiAICAaD6Pf7/PsTBAE3btxAp9OBpmnc3VPH7Xa7kUql8PLLL1sF2sKpgVWgLTwqHqsCvba2hkKhAL/fjxdffBGxWAx/8Rd/gdnZ2RPhEsc10w8ePEAul4OmafB6vdxtAuCuVFEU3l+SNSYlIymKgmw2i729PXi9Xui6jgsXLqDdbuMzn/kMrly5gj/4gz9ApVKB2+1mV7LxeMzFlQhRdB/JotLlcmFubo6Ld6PRQLFY5KQt0zRZHqVpGu9qSRa2trbGnS/pvCVJ4tAMCvjIZrP4yle+gsuXL+PNN9/EjRs3+HBD3Xu5XGazFUmSYLPZYJomer0e2u02Ll26xEEf7XYb0WgUbrcbsVgMoihib28P9Xqdr492zvT4DoeDx90UfEH76kajwXprunf0e6Jun9YUlKd97949ZqXT530+Hz/ueDzG7du3rQJt4dTAKtAWHhWPTYF2Op1mNBoF8PeyHqfTiWg0im63C8MwsLCwAOCIbOR2u6HrOscwAuBdMHXE1WoV0+kUTz75JA4PD9Hv9xEIBLhzJNb27du32aJSFEUmo9HjXbx4EcPhEN/97nfZfjMUCsFms+Fzn/sc3njjDR7fkkXpZDLh/GqKUaT0LXqOoigim82yVMw0TSwuLp7QHJOnNnWk9DnSitOe9qtf/SoSiQReffVVbG1tMSmtWq3CZrPB5XKhVqshEAgwY3w6nXKnT506jfTdbje63S7rrEnj3Ol0ONlKkiQmjFFqF33e6XQye97lcrHum8baRL4jXXej0eDfm9vtZi90koFRyhXd3263i1qtZhVoC6cGVoG28Kh4bAq0JElmKpViP+Z4PI5Go4HpdIpYLMY7506nw85amUwGNpuNk5cMw8CLL76Id999Fx6Ph0M0BEFAr9fD/Pw8y5TIo5sKADmJhcNhLmSUAkXJTVtbW3C5XHwokGWZOz7g73ekVJgLhQJHVAYCAS5WNMqmjnU0GrGjGY3FZVlm60zy3j5erHq9HorFIjPaieXucDgwmUx4x0xjb/o+Ym8D4MxtKn5U8OPxOEqlEne4w+EQfr+fC3EsFoOiKHjw4AF7htPvZ2NjAzabDVevXoVhGHwAIKcymjQQYSwYDMLpdHKOda1WQ61WO1GISbJWrVYhSRJL50qlklWgLZwaWAXawqPiE82D/jghCAICgQAX1OFwiK985Sv4/ve/z7pjSZK4g6UgCOrqyMLy9u3bsNls2NvbgyiKnE4Vi8WwsrICRVGQyWTQaDTQ6XRYC0zjUypKwN8XXJvNhuXlZWxvb8PhcGBlZQUzMzO4e/cu+v0+fD4fS7zIJcvpdCKRSHBHORqNuGP0+XyIRqMQRRFvvvkmk7aocOdyOTz33HNotVpsUiKKIs6dO4e3334bvV6P3cio06Z7SNIpupf0cTooOJ3OE98PHBVq+prpdIpms8nXQjnXjUaDVweVSgW1Wo3JXSQlm0wmPOYm1zQyFaEJQK/XQzKZ5MAL2lmPRiMcHh7CNE2YpsndM0nuADAT3efzIZvNfiqvSwsWLFj458Sp6KAVRTGfe+45jiIEjnS3NI5tt9u8S+73+6yDJqY1BURQhypJEhch8teuVCqYn59HoVBANpuFoiiw2WyYm5tDIBBAvV5HMBjEjRs3oKoqM5fL5TJGoxE0TcPMzAwURUEsFsPOzg4CgQDeeustJqrpuo5UKoXZ2VmMRiMeRZMxR7/fx9LSEsrlMtxuN4rFIrttFQoF3i+TNzd1rYVCgce+dG1k8kGMbUq4InIVHToAsBXpZDKB3+/nA8rx+Em6p3Qg8Pl8LC8jNrfD4cDy8jKCwSC2t7e5qyf9NpHYqFunot/pdFAqlZgESAEhXq8XvV4PkUgEkiRBlmUu3vV6nbOzqaOmEXyr1cLVq1etDtrCqYHVQVt4VDw2HbRpmswYVhQFtVqNSVPHGd0+n49Hv/Q5kixRx0eMbnK0ou/9nd/5Hbzyyiuw2WwcdwgAxWIRxWKRmc2pVArdbpdzh0neZZom2u02+0qHQiG2CG21WrxzdTqd2N7e5vAKVVVx8+ZNlmm9++678Hq9uHTpEprNJhqNBobDIQRBYEIZRWWWSqUT42myFPX5fGi327w7B8D3i1zYGo0GotEoYrEYarUaZmZm4PF48NprrzFbnFzIaE9ss9nYuY0Y5w6HA4lEAqVSCdPpFPfv3+cVgiiKbIzSbDbZtQwAP1+bzcYHguP7/fF4jH6/j5mZGcRiMVQqFTSbTSwtLbEMi7p0SZIQDAZRr9eZNGfBggULP+v4wA5aEIR/B+DrAMqmaZ5//2NBAH8BYA5AGsCvmaapC0cz138L4GsAegD+C9M0b3zQRfh8PnNjYwONRgNnz55le0nDMFAsFpkZTI5XJLuiYkZpR+Qq1u/3EY1GsbGxgfv37/OIt9lsMvFpZ2cHzWYT58+fZ6tMSr+y2+2YTCZoNpt49tlnMZ1OOfqS8olpHE870+l0yvttURTZGAQAJ21Rl0hsbIfDgc3NTWY1ezweLC4uolwuo1KpoFqt8j0iIle9Xoff78fKygoGgwFKpRJ/T6lUgqZpqFarbP4hCAI8Hg+7iEWjUUQiEdTrddy9e5dDSWhPXCqVAICjLimAAwAMw+D7HAqFAACrq6vY3Nxkvfrly5dZm04HANKO22w2dhQjVv5kMsELL7yAdruNdruNUqmE+fl5Js1dvXqVk8Ao/KPX6+HVV1+1OmgLHwqfxnuY1UFbeFR8LCQxQRCeA9AB8KfHXtz/M4C6aZr/RhCE/x5AwDTNfyUIwtcA/Dc4enE/A+Dfmqb5zAddhNfrNc+fP8/pR0R+WlxcRL/fx82bN7mA9Pt9TKdTNiNxu92o1WrweDy4cuUKCoUCd8KmacLv98PtduOtt97iQkoj6V6vh1AoxJ14pVKBruvwer3c0drtdoTDYcRiMezt7XFecqvV4s6b9rnJZJJ3qoqiAACazSYX9263y+PocDjMOm8AyGaz7OTlcDjYrIPQ6XQwOzuL3/u938N3v/tdXL9+HcvLy8hkMlyMVVVFu91mjXWj0WDPa9Ia0wSCiGTdbhfJZBKqqsI0TZTLZfR6PSiKwr8HYpLv7e2xsxjp08lK1e12M4FrcXGRU65cLheztQHgxo0bfG/IS3wwGLArHO27aWQ+OzuL/f19FAoFRKNRtNttzM7O4qWXXrIKtIUPhU/jPcwq0BYeFR/LiNs0zdcFQZj7Bx/+BoDn3//3/wXgxwD+1fsf/1PzqOpfFQTBLwhC3DTNwof4OUgkEsxQJrnN8QMEjaw9Hg98Ph97OdPOlr5W0zTMzs5ie3ubd8jNZpNZxccDGEzThCiKHGnY7XYxGAwgiiIEQUC9Xocsy1wEJ5MJBoMB0uk0a3LJ5WtxcREejwd7e3u81ybva9qpUudMjmhOpxOCIEBRFJZ/kW74ePEfj8eIxWL4sz/7M9Trdbbp1DSNO/ZMJgOPx4NwOMxpWpRlXa/X4fP5YBgGm6sQAa/X6yEQCKDb7QIATwHofjebTZw7dw61Wg2CIPDOn5jaDocD4XCYw0GIZEYHHQrlIIkYjbdpMkIs/NFoBJ/PB+Ao/3t+fp7zwenAAACxWOyDXk4WLDA+rfcwCxY+bnzUHXSUXrCmaRYEQYi8//EkgMyxr8u+/7F/9MUtCAIODg6QzWaxuLiIK1euMOFpd3eXiwBJlWgE3e128fDhQ9hsNgyHQ1y7dg2zs7NsvdloNLC2tsYJTd1ul52tIpEI70sFQeAcZepeNU1Du91GMplEr9djf2qyu5ybm0O1WmUrzfF4jNdee41dso6HdiiKciL4gjr5Xq+HRqPBDmDVahVOpxPBYBB2ux2ZTAYOhwMulwuapiGfz3MRl2UZh4eHsNvtvBd3uVwYDAbIZrN80Dhu3DIcDqEoCnewlFY1HA6RTqfZ3GV2dhaSJCGVSkEQBLzzzjtIp9MswVIUBbIsM1u9Uqlge3ubIzmPM+H9fj/a7TYODw/hcDigqipnWZOkrtlssnZ6PB4jHA6j3+/jzTffhNvthqqqTFjz+/1Ip9Mf8WVrwQLjY30Ps2Dhk8DHTRL7aS37Tx39CILw2wB+Gzjqlvx+P5OVfvSjH3G3RKxuWZa5az44OGD2saqq3AmTjGp2dpbtKuv1OhYWFpiIRlaZd+7cgSiKcLlc0HUdwFHnOBqNTqRBybLMXScVxkajAa/Xiy9+8Yu4fv06Wq0W+2VPJhO4XC4cHh7y3pi6ZpKQAUejb3osj8eDUCiEcDiM+/fvo1arwWazcSGdTqcIh8Not9vI5/OYTCbsJZ5IJPDGG2/A4/Gw9SYA9t4mshcxs/v9PkvBBoMBd64AOHGLiGvUgVPnTUzqQCDA+c26rqNSqfDPpc7d6XQik8kgm83yPpumAMQncDgcCAQCmJubw5kzZ3D9+nWIosh53jMzM9B1HZPJBIqi8AHAIolZ+ATxkd7DLFj4JPBRC3SJxj6CIMQBlN//eBZA6tjXzQDI/7QHME3zjwH8MQCoqmpSoAWlOAmCAL/fj2azySQlAJyZnEwmUavVmI3d7/fZPSyXyyESiSAcDqPZbMI0TWxsbOCHP/wh72EBMDnLNE1IkoSlpSVMJhPcvHmTLTeLxSLC4TCCwSB0XWdHstFohEwmw3ae5KdNntPZbBZutxsulwvlchlf//rXce3aNUiSBF3XIYoiM7RpnE3+1sQKr1arUBQFw+EQxWLxBPucWNNvv/0278WpuyfNM7HD2+02arUad7culwterxd+vx8bGxtoNpucWEUFnWIjn3/+efz4xz9GqVSCz+dDIpFAt9tFOp1mNnej0YCiKJyEdfv2be6CJUlCq9XCpUuXcP36dRSLRTSbTVQqFSwtLeH27dt82BgOh9A0DTabDZVKhSceNObf39+HpmkIh8Mf8WVrwQLjY30Ps3bQFj4JfNQC/Z8A/OcA/s37f//fxz7+LwVB+A84Ilg0P8zuZjQaodVqYX5+nh2nms0m7ty5w911tVpFq9WCzWaDpmm89yRP6oODAx7j+v1+iKIISZKQz+cxNzeHW7ducfdKI/FOp4OlpSWWUjWbTWxubiKbzWJ1dRXRaJTlR+12m9nbtVoNkiTB5XIhm82eSGwiUxUq/oVCAS6XC9/73ve4kDqdTvT7fYiiiEAggIWFBZTLZXQ6HYTDYdhsNjYvqdfrcLlcUFWVJWfAkTxsMBhwETQMg6VM/X6fXcBofE72n+SHDQDxeBzj8RgHBwe4cuUKBEFAIpFArVZDqVRCpVLByy+/DKfTCbvdjoODA9y5c4f32q1Wi3XhVGABIBKJMGmM9se3b9/G8vIyGo0G6vU6QqEQ27YuLS1hc3MT4/EY1WoVyWQSlUqF1xH0O/P7/QgEAtjb2/uIL1sLFhgf63uYBQufBD6wQAuC8B0ckSk0QRCyAP41jl7U/1EQhG8BOATwq+9/+fdwxH7cxZFE4b/8MBdhs9nY1EPXdUSjUSwsLCCfz6PT6UDXdbTbbSYikYwoGAyyvzV1oUQ8oo5yOBzi1q1bAMBe1qRRbrfbyOVyrJsWBAFPPvkkNjY2eKSrqioePnwIl8sFSZI43CKXy3FXSXteQRAQiUT4eiiwgj5PWmsiqlEkJe2sifDWaDSQSCSQTqc5v7larcIwDB6XE6mOnL6IjFapVNjzOhgM8viaLD3p2oiY1W63OY6TvtbpdCIQCHDQhWma6Ha7cDgckGWZD0rkx12v17G8vIxUKoV33nkHwBGRi/bwk8kE9XqdC7vb7eZJAgC8/vrrTCYj8lwymWSTFNJ1j0Yj+P1+JpJZsPBh8Gm8h1mw8Engw7C4f+P/51M/91O+1gTwLx71IgRBYI0vdaw0BiaJEhUdCn4gLS6ZiHzmM5/BK6+8wvaekUiEO8VyuYzl5WU2+5idnUWtVmOrTupMSQc8nU7ZeYs8wavVKu8+KQKS0qZ6vR5M04TNZkOhUOAxPKU+TSYT/tpYLMbBErTHJQJUp9PBzs4OE8/Ii7pQKGA4HKLf72M0GiEcDrNOXJIkmKbJXtr0Nf+Q2W4YBnq9HlZXV6HrOhYXF6FpGur1OhwOB6rVKrrdLpPrfD4fW5fG43Hs7u7yQYOCNeig4HQ60el0kM/nsbi4iEqlwtOC40Ek9Pt1u91stkLMbZK/LS4uMgGwUCgw+W04HPIInSRbFix8GHwa72EWLHwSOBVWnz6fz1xeXmbJUL/fhyzLuHDhAq5fv47BYICtrS3EYjFomob9/f0TwROSJMHr9aJcLkNRFHQ6Hfj9fh6LElsaAFKpFBf1yWSCbDaLtbU1JJNJ+P1+vPfeezg4OGASFRUH8uk+HorhdrvhdDrZQWw8HrOZByVedTodCIKAlZUVPHjwgF3BKOOZRtPkuPX+/eB/T6dTRCIRjqak8A1FUXB4eMjP3+Px8Ig8lUohm81yNz4zM4ODgwN2GwOOCmYwGOQOf3t7G5qmwW63s+2oKIrodDooFArMVCcLUjpoUCqX2+3GwsICzpw5g62tLR71kyTL4XDwGJwOTrT/n0wmUFUVg8GAd+HxeByxWAw/+MEPAABzc3NIpVI4ODjA8vIyvv3tb1s6aAunBtYO2sKj4rFJs1IUxbxw4QKPbI8bh5DXNPk3k86W3LBI2wwcGXXous4MZJJR+Xw+PHz4EJqmsQFJq9XCuXPn2NaS8oc1TYOmafjJT37CmmvgaDxN2dTNZpM1w+VyGaIoQpZlbG1twev1QhRFHr0nk0lmT0uSxGYb3W4X8Xgcv/Zrv4Y//MM/hK7rzDyncTVdU6FQQDgc5jUApW8FAgG21CRzFLLFVFUV7733Hnq9HsdFOhwOtFotTuKy2WyYmZmBJEnIZDJIp9NYWlrCzs4OptMpd8H0tWQSQ6lYRJzTNA2lUomzrjVNg8vl4rQuYs/3+324XC4OESGnMafTicuXL8MwDKTTae7MyQiFpgtU0FdXV/FXf/VXVoG2cGpgFWgLj4rHpkD7/X7zd3/3d3mku7+/zyNmYiLb7Xb0+33eiXq9Xt47D4dDRKNRlMtleL1elvB0Oh1OUaKISMMwkEgksL6+jjt37qDZbHKQhSAISKVS6Pf72N/fx3A4hGmacLlcSKVSbPlJ4RAEiqakES4AHslT9+3z+TCZTLhjDIVCCAaDXHx6vR4HTVAhpWAMCgXxer24f/8+Go0GVFXlAq4oCgKBACdj0WGGpggejwf5/BER1TAMdisTRRG6POHyaAAAIABJREFUrkNVVRQKBQwGA46spLASYnzTuJsSrMbjMVZWVjAej3F4eMiHIooMXV5extNPP41MJoP9/X3OfB4MBlBVlU1hiDVOHuORSIQ9yVdXV3H37t0TO/parYbpdIrDw0OrQFs4NbAKtIVHxWNToFVVNT/zmc/g4cOHuHjxIrrdLvr9PjN42+02B2SMx2OUSiUuXmRkMZlMkE6nWVZEhXttbQ3T6ZTdwIbDIS5evIhcLofRaIRarYZqtcqWnqZpQtd11jCTsYjH40E8HocsyygUChzd6PV6MTMzA8MwkM/nueOn4A5FUZhkRqQwACyrcjgceOKJJ1CtVjlDmiYF0WiUbU09Hg/W19d5tPzKK69w4VZVFcPhEO12G4uLiyzNokjK27dvc5JULBaD3W5niRrpzal7J7vNmZkZjrskjTMdEsj+k7Tck8kEDx8+5OeuqioajQZkWWZWOuVst9ttDtUgKdlx5zbaR1PXTZ03rSWazSaZyVgF2sKpgVWgLTwqHps0q/F4DLvdjieffBKtVgvxeJy7yna7fcJFajweIxAIcEEiR65kMolIJMIdHJmGUFGhETD5aNNeVtM0rK+vc9f64MED3oEf79y63S5qtRqazSZGoxG8Xi8URUEymUSn08FgMODuGTgivgmCgFAohN3dXS465G8tiiJsNhvK5TIz0uv1OgKBADuAUUwk/T+RSCAajeLmzZts3AIcJW5RZxkOhzEajZiI1Wq1AIDHyhcuXMBoNMLOzg729/exsrKCTCbDz3F+fh71eh0rKyvwer24fv06G8KUy2Ueb9dqNfbj7na7WF9fZ4vSRqOBQCDAZinA0USBSGHnzp3j+0jd+PF7fTyvml4HdOChtYUFCxYs/KzjVHTQgUDAfOGFF1CpVNDpdDjPmcar3W6XR7cejwdnzpxBJpPBeDzG7OwsE8fC4TD29/c5lMLr9UJVVTSbTfj9fiwsLEDXdWQyGfh8PoTDYQyHQzSbTZZE3bhxg3XDFDCRSqVQLpeZMJZKpTiXmEbSxAinDh8AM8P9fj8ODw+h6zp+6Zd+CW+88Qbrg1utFnfXa2trEEUR6XSa3btIKuZ0OvHVr34VP/zhD1lqNRwOceHCBY6lJLcuSuYivTURyMgfnPbR5I52/OsBcFElMtrs7CwKhQIODg6wvr6O1dVV7O7uQlVVuN1uNh6pVqt8P+hAQJroVquFYDCIbrfLfyRJ4qATckLLZrO80qDMbyKnkYRMEARrxG3hVMHqoC08Kh6bEbckSealS5e4EH/zm99EqVTCgwcPmJAVCAR4X2uz2ZBKpThNyul0Yjqdsl1ovV7nxy6VSgiHwwiHw9jb2+MdKADOlybCF1lJkvSJCpVpmkilUuh0OqjX62xX6XK52HEMACdHBQIBvPzyy7yHptAJwzDg8Xj4+2gvTJKxlZUVmKaJnZ0ddLtdZnN3u10sLy8jEomcMEahwAkK6zh37hxKpRIymQzLuGj8T+h0OhgOhwgEAggGg/B4PLh//z6azSbsdjum0yl34BTuQTt/0zQRi8WYxU7d7draGt566y2+LrfbjXa7zftvTdOg6zr7iLdaLQ7TIGMVOqQQr4AOLjTapqkITQSy2axVoC2cGlgF2sKj4rEp0IqimM8++ywXYCoolK9MjGIKvaA96Hg8hs/nYzkTFURyz5pOp3jhhRdw9epVHBwc8H7Xbrfz/pRY2hQDSXpbSpUiE5PjZiRutxuGYTATmew66ee9++67+Lu/+zsuULquIx6P888XBOGElKnX6+Gpp56CaZrodDpQFAWNRoOnBJT/7Pf7cfXqVWZlU8wjcHQIoFEwFW+6j8SKJztOYrKXSiWcP38eh4eHPKmgjpXsTyn6sVQqscabjEZorG+aJpPpHA4H5ufnYRgGqtXqCfcyl8vFmc4kR6vX6zwRoHhMVVWZwS2KIsbjMWurr1y5gtu3b+PatWtWgbZwamAVaAuPisdmB035xE6nk525bDYbBoMBy5GoOBADeTweszUkjUiBo0JLb+5nzpxBpVLh8S+NdUmiROYfAHiMTP+nfbHH40E0GkWn00Gz2cTCwgI2NjZYK/3666+zKcnMzAyuX7+OdDqNQCDA+1rqjAeDAXK5HEzTxGg04j0r7W+JUJXJZDg60jRNJJNJPPvss/jbv/1buFwuBINB7mCJxEadPxHr6G9ih9Pho9vtwul0wuPxwO/3YzqdQtM0Xis0m00u4uVyGcPhkE1aaFJB7GtK6aLu1uv1YmVlhQNOiOjV6/UgyzIGgwEURUEwGESxWOSOvdVqwev1skxrOp2iVqvx4YtIe3a7HdeuXWO3NgsWLFj4Wcap6aCfeeYZ9Ho9Nv0wTZPdssbjMXRdhyzLmJubw+7uLtrtNhO1qPNTVRUXL17EeDxGuVzmwIbDw0MuSjabDQcHBxBFkSMlDw4OoKoqE6y8Xi9CoRCm0ykMw0Cr1eJOHgASiQQymQxLwFRVRbvd5iAOwzCQSqXQ7XYxGo1gGAYURUGv10Mmk+HnBoA7VCq6NMKmTt7n86FSqUCSJEiSxElPiUSCu1BZlpmARSEXdNggzTX5l5PFqNPp5EJ369YtXLp0CbVa7YQunCw9icRHRd/hcGBhYYGTr9LpNFKpFCqVCnw+H68jNE1DpVLB1tYWP0az2YSqqmx8Qq5l5ONNQSTUcZMPObmnkXPbd7/7XauDtnBqYHXQFh4Vj00HTW/UwJF/dK/X4463Wq3yrrhSqUDXdba3pAhJn8/HZhq5XI5drSh1ibpz6kgFQUCj0UCtVoOqqlBVlTOa2+02JpMJyuXyiSJKtpmCICCfz8Nut0NRFDSbTSaFkfSI5ETkqQ0AX/va11Cv1/Gd73yH9dVEyiK7y/39ffT7fXYnIycwp9PJKV9UJDOZDAzDwNzcHARB4G6ciuD58+eZZEbFm3y9KXt6NBpBlmWeJtC4nLpZIpiRSYmiKDxVaLVa/HvqdDool8ssrcrn8xy6QUlktK4g5jkVYSKAHddg04EomUwiEAjA6/WiWCzC7/fD4XAgGo1+Gi9LCxYsWPhnxanooP1+v7m6usq64+PhGVQwKeEJAP8/GAwiGAyi0WhAkiRsbGzg5s2b8Hq93D3XajV+XNqHkuUljVyJgU3FhkxNRqMR7HY7gsEgs51tNhs/tt1ux3A4ZO9tWZY567hUKvEI3e/3M8Hq2rVrXGSHwyEuX77M3TgdNuhAQYxmt9sNu92OtbU1PHjwAJPJhBO+7HY7O4r5fD5Eo1F+rFKpxHt6cgEjhrthGLwXDwaD8Pl8qNVq2N3dZRKY3+9nkhndM7vdzoeGL37xi7h16xZnP4/HY8zMzKBarXIMJ60KiBhG8ZE0zqapicvl4mSvO3fuYDAYsLzO7XYjFothbm4Og8EAmUwGb7zxhtVBWzg1sDpoC4+Kx4YkJoqieeHCBYiiiNFoxG/ek8mETTCoWJJGmaQ4ZMAxnU6RSqW4YFI8pCiKiEQi2NnZAXBE8goEAqhUKuj1evy9LpcLc3NzcDgcODw85NEu7W8DgQDcbjdM00S73Ybb7WZZEQCOdtQ0Db1ej33BgaODQKlUgtfrZScyANwpDwYDeL1euFwu7qzJFc3n852w93Q4HBAEAdFolN3WaBd83Oda0zR2RSsUCnwQkWUZqVTqRLdO43ByXaNcabJT7XQ6HCpCiVfj8RiKomB/fx+CIEDTNB6fEwmNvs7r9XKyVq1Ww3A4ZJ9vui7yOZ9MJpiZmUGxWDwR+kG/X+BoyvLXf/3XVoG2cGpgFWgLj4rHZsTtdDrhcDgQi8X4DdztdiORSHDkYzqd5uIdiURY30wkKAC8b37xxRchiiLeeecdrK+vo1gsIhgMwuFwoN1uo16vcyGfn5/nEbUsy9je3mbZD0VWUjrWYDDAcDiELMtciKiI0xieZF/nz5+Hx+PB22+/zV05yZJofK/rOnw+HwdzCIKAwWDA7GkaudtsNpw5cwbj8RjtdpuZ4HTvSDOuaRpqtRoajQby+TwODg4gSRJmZ2d5x5vNZrG7u4vJZIJIJMJhFrT3J7kTda+SJCGZTKJWq3EsJV1TKpXiLpzIauRWtre3h3a7zWuIUqmETqeDbreLUCiEXq+HWCyGbreL8XiMubk5Ptjs7e3xdRuGgULhKI6Xuvtf+ZVf+Wd4lVqwYMHCp4tT0UGrqmr+/M//PBRF4XE0GWfE43E0m03cuXMHoVAIlUoF0+kUgUAArVYL3W4XlUoFsiyzzOr42DqVSmEwGKBarfLnSGp17949ljoB4GLbbrfRarW4UIdCIYiiyF0kSY3q9Tprr3VdZ29tukbaNRMJrFarYXt7G4qisNNZJBLBzMwMd+b5fP6E8cm3vvUtdDodvPnmm9jf34fD4WDGNTmRkbaaijWFZxDJTZIkLrzRaBSGYbBW2TRNeDwe/t5yucy78fF4DFVVeSQuiiKcTifa7TZkWUa9XmfDlWQyCZvNhlu3bkHTND5AybIM4CjwwzAMJt/1+31sbGxgMpng2rVrAMAHnaWlJbTbbb6Puq7D7XYjEAhA13UoioJ3333X6qAtnBpYHbSFR8WH6aBtn8aFfBCog85kMiynIVJXuVxGOp2GLMvc9ZLtJblRxWIxAH+/zwyFQlhbW0MgEECv12N9riRJcDgcPAInow5JkpgpTGYZpPUVBIEZ1dRlapqGarUKm82GbreLbDaLUCiEp59+mj26u90uy8IajQbW1ta4y3U4HCdSr7a2tlAsFjEYDGC326GqKh8C3nzzTbz77rsszzIMgwM+KIiDnhON/EmXHQ6HIcsye4mTuxpJmzqdDgzDgM1mgyRJkGUZfr8flUoFS0tLGI/HfEihjp/24zabjVcP5HbWaDQ4FzuRSEBVVQSDQT54UeEOBoNIJBIc6uHxeDiljJ4jscDpXhFRDQATCi1YsGDhZxmnooMOBoPm2bNnOZjh0qVLsNvtbHRBnVcul4PD4UAgEIDT6cSDBw+4S/V6vUwsi0ajUBQFiUSCC9/m5iYXoTNnzkBRFNTrdUiSxI5klOdMFqHk4kUdrSiKTGZyu9144okncO3aNfj9frb5vHfv3okkq1arBYfDwXtim83GxSgQCODFF1/ESy+9hOl0yv7btFcny9F0Os1kKcrLLpVK+PznP4/NzU0+0BCxi5zNiOxFu/BWqwWn08l+5KqqsoabnjcV91KpBF3XedROh5tut8sFk0ho0+mUr9nj8UAQBGQyGUQiEZimibW1Ndy9e5cPUsd3zpRkRcljX/jCF5iEVq1WEQgEUKvV+PrJk/v27dtWB23h1MDqoC08Kh4bkpjb7Tbj8TgXmXg8ztpYKpyj0QiJRALT6RSVSgWDwQCNRoOLjiAI3OlRkES328XOzg4HV1CXmUqlYBgGkskkdF1n6RYZY/T7fZYv3b9/n4tRKBSCoiiIRqPodrscYkF/8vk8E7qIHS1JEprNJlqtFhRFQSQSgdfrRa/XQ6FQOEGYoudKhZq6durcHQ4H+5WTXScZtZBFJwVOeL1ejsRsNpv8eVmWuWDTLp703cQWn06nSCaTODg44I6ZZFHH852JzEXZ0N1ulzt26nZpcuF0OlEsFvn5AkeOb5VKhX/PhmGciJ2kOEySdh3Xff/kJz+xCrSFUwOrQFt4VDw2JDEqPvSnUqmgVCpBFEVOqWo0GidSjqiYiKIIj8eDVCoFv9+PVquFXC6HZrMJAIjH48zUJslRMBjE5uYmfD4f+2dTBjKNmBVFQaVSYWLaU089hWq1Cr/fj0wmA5fLxYWGrEZpZ/ubv/mb+Pa3v416vc6GKgCwv7+Pw8ND7nRJJkZTgEQigS9/+ct46aWXoOs6hsMh5ufnAYA71EAggFAohFKphFqtxvIvYrULgoDJZALDMLg40h49Eolgf38f+XyeHdsoXCMQCPAEYjwe49atW0zSogxo0zTZcIWMR4LBIO+sRVFkqRkAXLx4Ebu7u+xEJkkSFEXhsTU9R/q55CRHLmYOhwPxeByDwYDlahQPasGCBQs/6/jADloQhH8H4OsAyqZpnn//Y/8jgN8CUHn/y37PNM3vvf+5/wHAtwBMAPy3pmm++kEXoaqq+cQTTyCdTmN1dfWEc1ihUDjh40x7XUmSkM1m0e/3Weq0traGGzduQFVVluccT0uiWEgAmJubw+rqKidbNRoN1l33ej3OL+71elAUBVeuXGFd9WAw4BQnkjxNp1MsLi7C6/Via2sLBwcHLJ8if2sA/Pdx0w4qrDRmLhaLfL3UqW5sbGA0GiGbzaLX6+Hw8JDtO8mAZTKZoNFo4Atf+AJ7iAeDQdhsNuzu7sIwDKiqCtM00Wq1YBgGNjY2sLu7ywxs4Mhqs1qtsp93NBrl6yUb1YODA3YMO+7hTYx62u2Px2OEQiEkk0mk02m43W4+zND9aDQaSCaTMAyDJW+pVArXr1/ngwQA3of3+31rxG3hQ+PTeA+zOmgLj4qPq4P+9wD+EMCf/oOP/++maf4vxz8gCMIagG8CWAeQAPCaIAgrpmlO8I+AGMyKoqDdbh9d2PuaWBp/AkC1WmXvaOrsqPiSgUYikYDP50On0+EdqmmaaDabTKCigvHOO+/A4XDw+JZ2t8QCJ09ph8OBdDoNl8vFudB+vx+iKEKSJJYQJZNJDq2g/XG1WmWNc7fbZZ0zab1J+03jeTqM0G632+2iXC5jc3MTsiyjWq1y10ksaXLjooPGw4cPsba2xh/3er0nRsQ0sTBNE/fu3UMwGITdbodhGMjn80ilUojFYigWi/z8yZWMPiaKIo/zqfCLoohyuYyzZ8/y7n4wGCCbzfLjkBkL2ZPSvjuTyfB+3e/3Y3NzEwB4LUGpV7lczsqEtvCo+Pf4hN/DLFj4JPCBBdo0zdcFQZj7kI/3DQD/wTTNAYB9QRB2ATwN4K1/7JsoH/jMmTNcPNxuN3Z3d9m9i7KJdV0/wSwmL+ubN2+y0Yeqqtx9ulwuNJtNzM3NQdM07sp3d3cRj8fR6/WQzWZZPpVKpZj01Ol04Pf7EQgEOMCBOlpd1znlKhQKse90LpdDp9PhTpUiFsPhMHK5HMLhMFZXV1kfrSgKlpaWIAgCOp0Om7BQV0qZ0TabDfv7+yyvoj1wJBJhG83xeIz5+XksLi4yQY3kXpPJhA8TAHhXTyNt6mjn5+chSRKP08nsZX9/HzabDaqqcjynJEks6Wq1WhiNRohGoygUCnzYIQIf5WJT5763t8eHoHg8DgAcjykIAo/+h8MhdF1n9v7Zs2dZ523BwofBp/EeZsHCJ4F/yg76XwqC8J8BeBfAf2eapg4gCeDqsa/Jvv+x/w8EQfhtAL8NHI14u90utre3WWJEfsybm5u4fPkyqtUqy2+oaPV6PVy+fBmdTgeapnHkJBUDAFBVFefPn8eDBw/Y5pL20YZhcOdGQQzAUYZ0q9VCLBbDYDDgkXY4HAYA7OzsnJBrURdcKBQQDoc5LpLkTMPhkFnKk8kEb731FjO7TdPE/v7+if3x4uIiM8vtdjt38sBRR2mz2TimMp1OI5FIcMF1OBzY2triDpVG/cDR6Pp4CAjt0e12O68JSPrU6XS4UJOLGYWJkG2nzWaDpmnY2dlhG09d1/nfZPYSjUbRbreh6zpnPNN1GYYBv9/PaWJ0uKJscKfTyddJ7m6JRAJ37tz5J7x0LVgA8DG+h1mw8Engoxbo/wPA/wTAfP/v/xXAfwXgp83Uf+puxjTNPwbwxwDg9XpN2lfSm7DNZkOv18Mv/uIvIpVKwel0Qtd1OJ1OFAoFDAYDxGIx6LqOQqHAEh/aGdtsNgyHQ9RqNTa8oH01dcSkkS4Wi/D5fCiXy2i1WggEArzfTSQS6Pf76Ha7bIxC7mVULKnTG4/HODw85BE0kbDIApNG0E6nE5qmAQCP1mVZZstNcswi/bDP5+MOlRzMyGkrn8+zx3iz2eTgDafTiWQyeYIhTWQs0lt7PB6sra3h9u3b0HUd4XAY8XgclUqF3cScTifm5+fh9/tx48YNmKbJ5iOGYWB/fx9zc3Oo1+sAgHK5DACIRqNwuVxsc+rxeLC8vIx+v48nn3wSuVwO9+/fRzQahSzLyGQyAICHDx+y5zalhZGMze12o1ar8c+3YOGfgI/1PczaQVv4JPCRCrRpmiX6tyAI/yeA/+f9/2YBpI596QyADzWLpOKl6zoEQUAoFOI8ZyISUW40FbRisYh6vc4Fr9PpsEc2jb9dLhd3psQ+LhaLEEWRCzt5Ry8sLHB3TUEX29vbHOHo8/m4WDz//PPY3d3F7u4uj5upS6aAC5I9AUd77el0ipmZGSZe3bx5E/F4HKIockdPjl5k+9loNPiwomkaQqEQdF0HAOi6jng8jmKxyPnXiqKgVCqh0Wjg7NmzCIfD7MqVSCTg9/vh9XrZDYyKusvlQrVa5ZE2dc+GYWBzcxOJRAKXL1/G1tYWBoMBWq0W4vE4J3o1Gg0Mh0POq6YRPzmwCYLAtqkPHjxAs9mEx+NhqRxldVNyF9mcUhgKucXF43H25LZg4aPik3gPs2Dh48ZHKtCCIMRN0yy8/99fBkDzxv8E4M8FQfjfcESwWAZw7cM8pmmasNvtmJ2dZWOKw8NDRCIRPPPMM3jllVewuroKTdNw9+5d9Ho9ZgRTLjSxsIkkRqzreDzOhcc0TYxGI/amttvt8Pv96Pf7qFQq3F2Tm9hoNMK5c+e4SE6nU7jdbqTT6RORmKQFJja2IAiIRCJot9vsPNbtdvnnVqtVLC4uMtN6NBqhUqmwDelgMEAul2PzENqLH4+hPP48fT4fcrkcP954PGYpFpG1MpkMp1KR17ndbke9XudDAmVb0/0iMtloNMLOzg46nQ7fg36/z3nYtJsmDbfL5TpB8PN6vWwrKooiJpMJHwwMw+DnQocyGqmT5WosFoPD4cDdu3dx8+bNj/KytWCB8Um8h1mw8HHjAwu0IAjfAfA8AE0QhCyAfw3geUEQLuFo9JMG8F8DgGmadwVB+I8A7gEYA/gXH5b9WKvVoOs61tbWuJBRF/XKK68wW5m8pWu1GtxuN1txkmaZdL00IqUCkUqlkM/n0Ww2Od6QNMKGYfCemYqWruvwer1YWVlBsVjk76HwB+DI2YrIasQyptE4FSRyRCM2Mmm9ATDLfGlpCdVqFcVikS1OyQSFunu3280JWXSAoKJKJDIqimSZSazpYrGIfr/PQSNkWqLrOh86yBSFxvH0vTQaLxQK8Hg8GI1GPE0gvfXS0hK63S7fi+FwiFKphEQiwTvm41aeFNAxmRy9NEKhEO/cAfDk4fi6o16vQ1EUPhBYsPBh8Wm9h1mw8HHjVDiJuVwuc3Z2lt+QyVJTVVWUSiWEw2Gsra3hnXfegdvths/nQ7FYhN/vR6PR4AhJImzJsoy7d+9yR0cdaDAYxMWLF5HP55HP57kgkanJccZ0KBSCx+PhzppGrA6HA4uLi8hkMjhz5gwA8E4cABdrct8iaZOmaRgMBjwdoJ/l8XgQDAYRiURweHgIl8vFjHFKqfJ4PGi1WnC73Rw3STtt6oiP66aJjEbkKiKbzc/PI5/Po9VqnQjUIPOQfr8Pr9fLlp5EGKNimUwmIYoi0uk08vk8kskklpeXsb+/j0qlwvczEAhgaWkJhmFgOByiXC4jl8vx6qDX62EymUBVVX4edCigvb5pmswAp8J+3Bjm2rVrlg7awqmBtYO28Kh4bJzE7HY7u2OR3IlGt6IoIpfLoVKp8L75s5/9LJ5++mlcvXoVqqqyhpdynqvVKgaDAbOzG40GNE1Dv9/H1atXMRqNEIlEmK0cDodhGAZrnWlvqmka0uk00uk0NE1DqVRCr9fDysoK5ubmmPVNNqI0/iVNMuUokz6YduI0LqeCQ6lQAHhE7HQ6uaBR1rSqqlyoY7HYifxnYrgD4ECMRqPBq4BWq4VCocCHn1gsBo/Hg0qlwgceYmiTFpmMVOjA8sQTT+D1119HIBDggwe5etHhhUJPOp0O4vE4VFVFNptlqRTdGyr8VJRdLhfOnj3LJii///u/jz/5kz9hNjoADuUgDbkFCxYs/CzjVHTQPp/PXF9f552rJEmswU2n06xnXl9f54QpcrpSVZVds7LZLPL5PD+Goihc+I8X/EgkAuBIUkREJVEUOTYxl8vBZrMhGo1ic3OTYxnJ6jKZTGIymWB7exsA+HFJskRGJP1+H5FIBLIs48GDB2wasrS0hHK5jFqtxsERoihyEAWNen9akAUAtvGs1WrsQU450pIkIRwO4+HDh7xbz2azkCQJly9f5oALsgdtNBo8Uqaum8I+DMPgdCqPx4NYLIZ4PA7DMHiPn8vlmAk/nU4RiUTgcDi4+7bb7VAUhb3Vs9ksd/2kza7X63xPyS2u0+lgfn4evV6P4zHpAOFwOKy4SQunClYHbeFR8diEZdjtdvOFF15AMBjkTlKWZdjtdhwcHLDk6P79+5idncWzzz6Le/fuoVAocDHp9/uo1+usJy6Xy8woFkURXq8XkUiEd6VUMGmPGw6H8au/+qv4oz/6I85HpgIGgK/B4XCwPKvb7TJZSlEUfOMb38Bf/uVfIhKJcEcqyzJbVU6n0xMHBb/fz90/dcvkG07FlQhXbreb87FJbhaNRnm/TPGMhmFwpwwcke9o/A6ATU2+8IUv4OrVq2w6QsW00+kwAY3007RXp/APMmtJp9MAgFgshp2dHeYB0FieijRFa37jG9/Aa6+9hq2tLfYOp4OBJEkcsbm4uIhWqwVBEHB4eMhcg8lkgnw+j5WVFSssw8KpglWgLTwqHps8aCqSNEr1+/1QFIW7yslkgoODA6iqimq1ipdffhnVavWEq1a/32dSWbvdZveuS5cuYWFhgQlm1K2S7KfT6cBms2F5eRk+nw/NZhOlUgnxeJzzkY8bb8TjcfaYDofDTEbrdDp44403OA/6+Ei60WhwghXtuCncY25uDgsLC/x/+nkUUEFaaCLQ0utwAAAgAElEQVR96brOLOt6vc57ZMqJJgcyMvygIIzjJDW/349cLgcAHJ05GAx4Z0/BHMQ4J2OSer2OQqEAm82Gubk5AEdEt0wmg2KxyNnS3W6XVxX0M51OJ/7mb/6GpwwkRaODxHFDlVwux8x4ihYlwt3MzAxGo9Gn/yK1YMGChU8Zp6KD9nq95sWLFzE/Pw9BEHisSyYjRNaiHa/H48FkMoHX6z0RshCNRpntS3pmRVFQLpfZBavb7XJE4nA4RLVaxZUrV7iLpZ83GAyYlTw7O4v9/X2+3mAwyNdCf1PX+/zzz+O9995DtVplRvR4POYQENoLUzEajUZIJpMQBIGDNmgqQGSweDzOARPkLBaNRtFoNOB2u9nOlDTbwFHnTElg+Xyenc2IREe7dloPZDIZTKdTJmaNRiOoqopAIMAe4hSe4Xa7IUkSqtUqk/nS6TQGg8GJzjsYDHIc5szMDDweD7a2ttg7nQ4TZDhDhXtmZoanF7IsM2mMCvPu7i4ymYzVQVs4NbA6aAuPisdmxK2qqplKpXiPSp3VF7/4RfzgBz9gSc5oNDphbDEYDKAoCu+s7XY7EokE8vk8d9ihUAiCIKBYLJ7Y8X7pS1/C4eEhh2xomoa9vT32BKeumKIiyXJSVVV27yIy1erqKu7duwfgqCiVy2WEQiEunl6vl601ScPr8Xg4vnJ+fh6apkEURSbCtdtt7mAHgwFUVcUv/MIv4M///M8BHK0AKDGLyGHkoka7a5JCkcNapVLBk08+iUajwZpn2k93u10+QFAy1szMDMui/H4/0uk0E8d8Ph9mZmZQKpXQbrd5r0zXcrwI93o91moTOa/dbsPlcqHRaGBmZoZXCdFoFE8//TR0Xcfe3h6Ao114p9PB+vo67t69C5vNhhs3blgF2sKpgVWgLTwqHpsC7fF4zFQqhfF4zPtIj8cDv9+PQqEAWZahqiobWAwGA7bbpMCK2dlZTKfTE1Im0u0ahgFFUdjhKp/PM/vb7Xaj0WiccDGTJAl+vx/NZhOmaUIQBCiKgkQigVarxcYlN2/eZFMR4Khoku43kUigUqmgUChgaWkJkUgEW1tb2N/f55xmGv0uLy/DZrMxoYtCMMrlMkajEWKxGNrtNkdjUvdP+dhEFHM6nVAUBcARAUtRFFSrVVSrVcRiMQDgLGYi19H1BAIBLvaknSam+HA4ZLMVckqbn5+Hx+PB3t4eh5mMRiO2HS0Wi5AkCbIsM6vc5/OhUCggGo2eILkR4YykXJ///Ofx4x//mFPD7HY79vf3+XfRbreRy+WsAm3h1MAq0BYeFY9Ngfb5fOZTTz2FyWTCftc02iXbTurqjv+byFbT6RSSJLGJyPG9JhUzURQxMzPDecuHh4cYDAasAx6NRizfocJZqVR4zE1/ptMpJpMJ24rabDYoinJCNkW7ZrIIbbfbEASBtdC0N6YdsyiKCAQCSKVSCAaD6PV6yOVy3EVTAa5Wq1AU5UTUpq7rHFM5mUw4BpPSsSaTCY+t3W435ufnMZ1Ooes6RFFELBbDW28dBfUMBgPE43Fks1lmjNOIng4uVFBpx3z8kEQ/k9YKMzMzHM5B94ByvimnO5lMot/vw+l08sTA6/Vif38fhmEwyY6iRoPBILxeL370ox9ZBdrCqYFVoC08Kh4bHfRkMmGHL9pfOp3OE8XZNM0TzmBLS0uIx+MYjUY8an3rrbe4sCiKwk5VVAiHwyGzlml0LcsyF7LjcYrNZpMLfCgUAgDu3vr9PsLhMI9uaRfb6/UQCAT4mh0OB0KhEHq9Hg4PDxEMBpHJZE44ZlWrVSwsLLBOO51OI5vN8ojY4/FAlmVmblcqFZY/0U643++j2WwiEolA0zR2CZNlGZPJBO12G3a7HS6XC6VSCd1ul3OlfT4fzp49y0Eh169fhyRJrFU2TZMLdLfbZfb58W6bpgj9fp+Jd5FIBNVqFbquY2ZmBolEgos0xWCqqspOZcT2bjQavLemwgyAU8gqlQrfPwsWLFj4WcapYHETCYjIURQwYbfb+f9zc3Nsz0n7YEVR0Ol0sL29fSLpqVgsIp/Po91uw2azIZPJcAAFjVLJN3s8HiMWi2FjY4OZyR6PB6qqQtM0+P1+dDodCIKAcDjMu1fSBx8P1mi329ja2mIW83g8xsOHD9m1LBwO88+kIutyuVAul3Hv3j32tAaODi3dbheSJEHXdSZnBYNBnDlzBrOzsxiPx/B4PKApiM1mY9cu8rsmUp3P58PBwQEePnzIHuehUAjLy8uoVqscTRkIBODxeNBut3Hu3DmoqopUKsUkL2JhJ5NJ2O12dgAjgxMyYlEUBeFwmI1Xms0mhsMhFhcXEQqFmAhIhyNijZMDWyqVgtvthqZp7AZHOeFkEGPBggULP8s4FSNuWZbN9fV1CIIAn88HwzAwmUxQr9cxHA4Ri8VY6kTWj9S1UYEAwPtPKgrkCBYOh1EsFlGpVAAcBUWQDzYRqMigg4qTLMsYjUZwOBw8Wnc6nUxY03WdpVBkRUnj2FarhTNnzqBYLKJWq3Ee8mQywXA45OdBhZ3Y3vPz85ibm0Mul+Nx88zMDN5++21Ol6LRcrlc5hhMMiihg4HP54OqqjwBILvPcrmMCxcuAABu3LiBRCKB6XSKbDbLz388HuO5557DgwcPOC6T9vEOh4NlVsFgkB3IFEWBx+NBvV6H1+vlbO3xeAyn04mFhQVkMhk0Gg0eeeu6jmKxiLm5Oe6S6dCVTqd5GkCOaMPhEK1Wi18z6XTaGnFbODWwRtwWHhWPzQ7a6/WaTz31FLxeL+t2RVHkN3Xg6M2bJD/Eig6FQuzx3G634fV6oWkanE4nYrEYbDYbstksBoMBHA4Hy6vIXnJ2dhYHBwfcvZmmCbfbjdXVVS4y1PFOJhMUi0XWQpM/9dbWFhPUqHhRoATtxslSkyYEtNcFjvbk9HHSS0uShFQqhc9//vMwDAM/+clP0Ol0+OBC2m9yJqPulxjWpAunHTGZnpRKJYiiyI5ciUQCsixz9Ga1WmU2+WAwwJkzZ+B2u3kCQLt2t9uNJ598EqPRCK+99tqJAxLt8ROJBK8UWq0WSqUS66Jp1E3rDJJX0XP45V/+ZZTLZVQqFX5NTCYT5HI5dik7PDy0CrSFUwOrQFt4VDw2Bdrv95u//uu/jlqtBpvNBl3XeXzrdDpxeHiI+fl53pu6XC4OlpAkiXfNfr8fqVSK2ctOpxO7u7totVrMRA6FQigUCqjValBVlXOi7XY7p1C53W5mQ4/HYywvLyOTycA0TUiShFwuh2QyCVVV0e/3+XpJvkQFiwhrkiThqaeewttvv83Pi7ysm80md9C6rmNubg57e3uQZZmLvM1m45SrfD6P4XCIUCiEUOj/Ze/NoyQ/z/LQ56uqX/1qr+qq6n2Znk3T0mgsybIki5iDIZiLSThwcjA4OAlccMx1DFxyyPFluZclFxKHC+TalwRwEjsYTGyz5IYbG2TAlmK8yLZkMdJoNJrpZaa7p3qrfV+/+0fV885XrZFmWpqle/Q95/SZnlp+W1X/nu993+d93pQYuQCQGdg0O2G9muMn19fXMTo6KtkBv98vrWKcwZxKpaSezutAx7Tjx49jaWkJ4XAYrVYL7XZbZlGTZLmY4XQwGoywt9x8fHNzU2rR4XBYMiLHjx8X61Z+rsxccJLWF7/4RUvQFvsGlqAt9ooDQ9DhcFi/8Y1vlD7eSqWCeDyOo0eP4tKlS9KrC0D8opnu5OSoiYkJ7OzsYHx8HBcvXkSj0RCPab/fLyRmjjnkuEQSpN/vRyqVkm24risirGAwKCnYdDotEej6+rp4gx87dgwXL16UlC3QjyrvueceITP2KNP5jAYlrutidXVV2sd4XlRoFwoFiYiVUlKnZ1QbiURw+PBhiTKj0SiazabMrabSmoNBKBDb2trCyMiIzNOm+cqhQ4ewuLgo/cvj4+Po9XoolUoyyINq9fn5eRnJWSwWh+r2rPGbQzEcx0GxWBTBHBXuhw4dQj6fl9IGFzjcfzabRTKZRC6Xs1afFvsKlqAt9ooDY/UJ9NO7uVwOiUQCruuiXC7jr/7qr8Rpi+Ig13UxNjYmIqRqtYpHHnkE73jHO/DAAw8gn8/LvOZgMChGJHS5Yp212WwikUggHo9DKYWxsTHUajVUq1VcvnxZIk2mooG+JenCwgKOHDmCQCCAVCqFb//2b8fFixfF9Yx1YIrSfD4flpaWxJsbgNRnuV8OA+H4StbbOSayXq+LUGpkZATxeByxWAz333+/EJjX6xUXL45zLBQKUlfnJC0ztcx2tampKbTb7aFxjtvb2+IFzmg8k8ng8uXLWFpawtbWFmq1GoC+aUkikcDk5CQeeughuK4roi4eN8V0+XweyWQSfr8f0WhUFikbGxs4d+4cNjY2ZCQlhWdUb1N8Zn4mFhYWFncq9k0EferUKUlx5nI5aa3yer04dOgQHMeRvudMJgOtNdLptMxP5gSqYDCISCQiXs4cutHpdDA7OyuKZVpi3nvvvfB6vdjc3MTOzo5Em+Pj41IvXVxclAjO4/FgdHRUarvJZBLPP/+8+EWXy2XUajUEAoGXECzPodvtIplMSvqa7VrZbBaO40grUyQSkXnVPA8K1srlstiJAn2l+9zcHGq1GgqFgjh7tdttuK4rkfmpU6dw77334pOf/KSYowAQdTuvKSNdztgOh8NizOLz+fDoo4/iq1/9KpLJpIj4qMauVCqoVCqoVquIx+PQWmN1dRXhcFjU4EoppFIpnD17FoVCAaOjo/JZzszMoFgs4vz58/D5fGi1WhgZGZFFVLPZxDPPPGMjaIt9AxtBW+wVBybF7bqunp2dlbTmvffei7W1NZlIxfai6elpbG5uAoDUciuVipAL+6QpNkqn07h8+bL06jJlnM/npQY8NjYmKdnR0VFkMhkxAWFadnFxUYRpQD9NnkwmMTo6imw2K3XgmZkZvO1tb8Pjjz8u3t4kLEatrKeyjzmXyyGdTqNWq4kXdrPZxMLCAsbHx9FsNrG0tCR1dRqbsN5Nf26mvOnZTbMQngfV6SRRABLpO44joyKnpqYQiURkKEc4HEYwGMTi4iImJiZQr9elP50LqlgsJtO/OBZyeXlZUuYnTpyQ50ZGRpDP58VCdGNjA6Ojo3jwwQelNY7tdcvLyzKmstPpwHVdzMzM4MiRI/joRz9qCdpi38AStMVecWAI2nEcvbCwgEQiIVOrisXiUA357rvvRrlcRrPZxPT0NEqlEjKZDPL5vIiWIpGICLAikYiYm9ABi2lTEnqz2cTJkydFXby1tYVIJIJgMIhKpYJcLicmII7jSJtVIpEA0PeIHh0dFaU5U9cARCgWj8elPt7pdHDq1CncddddaDab+OIXv4gzZ87INC+fz4fZ2VlEIhGUSiX4/X7xBOd8bPpyN5tNGSKysrKCbrcrKfjnnnsOjuNgbGwMjuMgm82K85kptqLTGVPH4XAY7XZbfm80GvKzsLCAlZUVbG1tAei7jk1NTYnQbGtrS9q6pqen5RqyXr60tCTe281mEw899BDW1tZQLBZFiBYKhXD8+HFkMhk4joNIJIILFy7IMfZ6PTz66KMoFAr49Kc/bQnaYt/AErTFXnFDnMSUUrMAPgZgAkAPwIe11h9USiUBfBLAPIAVAN+vtc6rfu74gwC+C0ANwA9rrZ++xoGi0WiI7zb7XiORiNQ5L126BMdxJH0aj8clImNKm61VFIlRpLS5uSnESSMN9gpTHMbxkfTzBoDZ2Vncd999ePrpp6GUwtLSkhAHh1qY06kikQgqlQqSySSWl5eFsKgUn5yclIEZly9fRjabRSqVklowABklCfRr6CQmWnNSuAZAPMRJrJubm8jlclIDTqVSmJ+fR7lcxl/8xV+IHanP55PrRSV6rVaT3vHFxUVRjbfbbRn/SWc0tk21222Uy+WhCVbVahVnz56V3mcqztkG5/V60ev1cP78edTrdVmccELZ4uKiHCOj/0gkIvvZ2NgYmm9tYfFKuBX3LwuLm4XrEYl1APy01vpuAG8G8D6l1D0AfgbAX2utjwP468H/AeDtAI4Pft4D4LevtQOSQTweF6tIpqu11tje3kar1ZJ+WBLa6OgoTpw4IW08VASTDACIMMskEFpLTk1NyZAHkgTbh/jaL33pS2LlSYEV07l8rcfjEbcutkaxVuzz+aQty+PxIJPJ4NKlSygWi1Lv5v65z62tLbHJpBkK90HyZeaDJNpqtcQohQKtc+fO4TOf+Qyy2axsn2n3YDAoQjWah1QqFWxubqJYLGJ9fV2mhsViMSH+bDYrKWrHcRCNRpFOpzE+Pi61ZZ4X1do0een1ejKje25uDvPz8/IZA/0FSTKZlHNlloNRfSqVklGYFhbXiZt+/7KwuFnYc4pbKfXfAPzW4OetWuuMUmoSwONa6xNKqd8d/P5fBq8/x9e93DZDoZB+wxvegG63KxOTWFtldEvyi0QiCIfD2Nraguu6IqpiP/HFixclUuS4Rdd1JeVK8qSALBKJYGpqChMTEzh9+rTYVs7Ozopr2fPPPy+RNlPX6XQajz76KLxeLx5//HEA/Yh2a2sLExMTYhaSTCaRzWYlGi6XyxgfH0coFBKBWLVaheM40obV6XSQTqdFvV4sFpHP58XxjGprktja2pqk8qvVKlKplESZPF6m69nqxGi2Wq2Kz7brujKwgsQdDAaF9Nnm5PV6UalUcPnyZSQSCelndl1XVNlsT+NCqlAoCPnGYjF4PB5pLet0OiIgGx8fx4svvoh6vS51bp/Ph0qlIn3oHo/HisQsXhVuxv1r8Dqb4rbYE274sAyl1DyABwA8CWCcX9rBl3xs8LJpAKvG29YGj73sF5zpYUaxvMkXi0UUi0UAV+YnVyoVRKNREXLRGzqfzyOfzwPoK5Lr9TpKpRLS6bQMaCCxcRZyPp+XmvP58+fR6XSExOkwxnQyU7Hcb6VSwZ//+Z8DgPhnMxXcarWkLt1sNiVa5TCORqMhwjGmc6kKDwQCAPqRP4daFAoFiUwpDJufn0exWJQaMMdIAhClNdA3S6lWq2IUQutORs+cjEXCZqq5Xq8jm80iGo3i4Ycfllrw5uYmJicnxXuc14hqcp5zPB5HKBSSOjoXVp1OBysrK9IrToX42NgYWq3WUA87ST4SiYhwjYsUC4u94mbdvywsbhaum6CVUhEAfwLgp7TWJbYpXe2lV3nsJatLpdR70E8hwXVdNJtNMcBgejscDiOZTIp4q1arSaq22+1ic3MTly5dkuhtcnJSWodmZmYwMzODpaUlqf9yPCPnNieTSSFktjolEgkh+2AwKOMUTfetQqGA8fFxJJNJLC4uIplMSvRaLBahlJKFBmvHFDqZ86PN0ZgkI6qVY7EY4vE4RkdHsb29jdHRUUkXa60Ri8XwpS99SURY3W4Xa2trmJiYQCqVQrFYxMrKivh+c3HAlHUikZA6OTMMTCeHQiE4joOFhQX0ej0sLy9jfX1d0vasA8/OzopojL3XTP9vb29LtNtqtfD2t78dTz31lPSf0360UCiI77rf78cjjzyCpaUlrK+vY2trSxZb1BxwPrWFxV5wo+9fg23KPczC4mbgulLcSikHwH8H8JjW+jcHj0nq50akuKenp+XGXS6XpYeWFpz1eh3BYBDBYBC1Wg3Ly8tSi6RF59jYmLiB0bCEhLW4uCi9wACk1YgCpEqlgmw2K4prRnyMOlOplAynYH2VJhrNZlNIjSI0pti3trYQCoWkL5n750JkamoKhUIBiURC0tVsLYtEItKvTfU167tcxGQyGVFzT0xMYGxsDKVSSSJmr9eLRqMhv1erVVG7U5V+4cIFUZEz/V6tVqUXmuj1enjkkUeQyWTwxBNPyDkx+8Fsw9GjR0Wk5vF4pEQwOTmJcrks14G1dVqMFgoFVKtVzM7Oolar4YUXXpC2K2YQuHg5ffq0TXFbXBdu9v1r8Dqb4rbYE25Im9VA1fh7AHJa658yHv+/AGS11h9QSv0MgKTW+v1Kqb8H4MfRV0E+AuBDWuuHX2kf4XBYHzlyBJVKBYlEQgiQYwk5BWpkZER8n1l3fu6556TFqNPpYGpqCqVSSSY8cfJSoVAQ1XYul8Pa2po4hZnkwvopn6P4SimFSqUiUTnT55FIZGjYRiQSQbVaRaVSgeM4kt5mKrper0skzX5o9ibTDazT6aBUKokfeCAQwJEjR2RaFOvWzCrkcjmpR7daLZw6dQqxWAzPPvsscrmcbHNychL33HMPzp8/j2KxKKYupmNXIBAQIdbGxoaQdjQaRS6Xw/nz58X8ZHNzE/Pz80ilUnL9SKBHjx7FmTNn0G63USgUEAgEZMzlwsKCzKlm3zdFfCsrK5iYmBD1Pi1XE4kEarUagsEg5ubm8PnPf94StMU1cSvuX4PtWYK22BNuVA367wD4xwCeVUo9M3js5wB8AMCnlFI/CuASgHcMnvsM+l/uC+i3KfzP19pBu92G1+sVEZU51nFzc1OGWvAmrpTC29/+dnz605/G4cOHxciCqWqqidk6FYvFUC6XZdoUxUuNRkNMNkjUJGumk1nj5njInZ0dIX36ZFPwRYcyr9crc6vNSPGuu+7CuXPnRBXu8Xikv5miMpItU+Qk3nPnzkntmAMmms0mksmk2HLyOq2urmJkZAStVkvU7QBk/jP7j9nONjIygs3NTZlslc1mEQ6HcejQIRSLRWSzWRGSnThxAgCws7Mjgzm01uKW1u12xemtXC6LcUyn08HMzAyUUmKy0uv1sLGxIelxpRT8fj+OHj2KJ554QpT9TK2zd7tarV7H19bCAsAtuH9ZWNws7AujkkAgoEdGRkTJG41GsbOzI3OfaTzC2m00GhWiTaVSonQ+efIkvv71rwvBMQXL313XlVnKbEUioTP92+l0cOzYMUxMTKDRaOD06dNiAEKyIplw2hLHPJqkVa/XJT3N9qKxsTEUCgVRKAcCAaysrMB1XRHF0bCD6Vym0g8fPiw91xScsb7MRc3k5CQ2NzdFFU7QVtScl80BIl6vFw8++CCeeOIJEbtls1mJ6Dmjm58F53Vvbm6i2+3i5MmTuHDhAhzHEeMSRsckYU6woqiPKn2/3498Pi/lB+7LbKuiiM20bW02m7hw4YKNoC32DWwEbbFXHBgnsVgspqempqCUErEVFctMgQKQaLnVaomamuphpnzppx2Px9Hr9aSVamtrCz6fD9VqVYZukOAYMZoTr37lV34FiUQC73vf+6CUwubmJqanp2VONKPtcDiMcrksx9Tr9ZBIJDA2NiYRf7PZxMTEBAKBAJaXlyWFzlo7nck2NjaQSqXQ6XRkEcHMgdfrlUlfPp8PCwsLOH36NKLRqLRoMdJnNM7rFwwGoZQSAVgikcB3fMd34LHHHkM8HkcgEJAhFRST5XI5UdADwKlTp5DP58W4hF7gnU4HyWRSjmNsbAyXLl1CIBBAqVSSVrfV1VUkEgmMjo6i3W4jEong/PnzcBwH7XYb29vbUuKo1+vw+/0YHR3FwsICtre3kc1m4ff7kcvlEAqF8Pzzz1uCttg3sARtsVccGIJOJpP6vvvuw8bGhqRumQIuFAqSAmd7TbvdFocp1qRJQnxdt9vFxsaGiLXy+bwYjbCfmURN0VUoFMLGxoZEon6/H8ePHxe1s8fjERJnWpzRKtuJcrmc9PnSvIQiqHa7jZ2dHdmWz+dDvV5HOByWY+JoyUajIXVrTqSi2Gt0dBTNZlMWNJyapbXGxsaG9CNzGhXTzGzhosUpI+m1tTVUKhXpOff7/bKgoYirUqnI1Krx8XFMTU3hzJkzInTjgBNGz5FIBCsrK+j1evD5fNIPzsien2U8Hkc8Hsfi4iLa7TYmJydRrVYRDAYxPT2NYrGIXq+HXC4ngzP8fj+ee+45S9AW+waWoC32igND0OFwWD/wwAPw+Xx473vfiw996ENSQyZZMx3bbDaRzWYB9JXQR44cQbfbFQHZ6OioTFByHAd/8zd/IyRDL2oAQ1OcEokE3va2t+Huu+/GRz7yEaytrUntdnJyEsvLywgEAjLQgjVmpRSazSaKxaIQN9BPeUejUWSzWWitpc5MpzLWhP1+P1ZXV/Hoo4+KKGtsbAznzp2T4+10Omi325ibm8POzo4cw8LCAk6cOIELFy5ge3sbIyMjIvza3NzE3NwcKpWKpNS73S663a70IjcaDRw9elTGTcZiMTQaDVy6dEnImer5UCgknwPr7awFF4tFaK3h9/vF5pSLLM6w5mdDkicRs72uUqlgamoKnU5H2rSCwSDuvfdeNBoNLC4uYnV1VbIOjUbDErTFvoIlaIu94oYbldws0KITAD7wgQ+IU1U0GgUAMS5ptVrodrsS6bGGzJnKZjvUPffcA8dx8KUvfUleD0BMOEKhkIjEotEonn/+eXzhC1+QY6KwaXl5GQDE0jMWi6FUKgnxXL58GeFwWIZbhEIhGTnJ92xtbYmZB1uYGPWSrKvVqkTByWRSJntRCc70+czMjIxcXFtbk+uSzWaF/E6cOIFarSZjMc1xmEynVyoVMTqZnJwUMq5Wq0in00PCPZqFPPTQQzhz5gyUUhK9U6XN6WFcUHCqFq8BsxzMXGxubko/81133YVwOIx4PI7Lly8jHo+jUCjg9OnTKJfLUrNvt9sIh8OYnJzEc889d2u+nBYWFha3CfuCoL1eL06ePIlvfOMbIhaivSNwpc+W0f7o6KhMnzp8+DC+7du+DZ/73OcwMjKC9fV1uK6Lr371q6hUKmISUq/XpYWLquDJyUmJuOPxODKZDLrdLgKBgMyibrfbmJiYwNLSEsLhMADI8TGS5/hJjlDUWotTF8VoJKNAIIATJ07gzJkzEuWfPXsWjuMgkUhITZY92/Ta3l1z9/l82N7ello4CZYTqkZGRrC9vS0OavF4XGZeJxKJIfvTxx9/HOFwGD6fD2NjY+h2u7h8+QnYfMkAACAASURBVLLMs+b1eP7558VYhWn4druN6elppFIpVKtVuSa9Xg/JZFLapQ4fPoyVlRU0m01pN+OigY87jiOzoJkS50SyXC6HRx99VBT2FhYWFnc69gVBD1S5Uh8mcRUKBZluBfTdqkjSCwsLaLVa2N7exic+8QkopYRsV1ZWEIlEMDk5iZ2dnaHRibzhc4JWvV6XFDAATExMYHV1Fa7rYmJiAt/5nd+JP/qjPxIxFZXNNDoBIGnzbreLQ4cOoVAooFKpCBnFYjGk02lpxXrmmWdeUjseHR0VwZpSStqXGFl7vV7px2YPdTAYxMTEBDY3N1EqlVCr1TA7O4vz58+LYxotOVkrfv/7349arYYPfOADQ7OiOdGKrVvxeBypVAonT57EE088IefEdqqxsTFxX2u1WtJSFQwGUSqVAGBoVvXGxoYIAKnGNk1beBy0+7z//vvx9NNPy+sCgQBWV1elR97CwsLiTse+qEGPjIzoBx54QKI2WmVSfZ3NZiXt7TgOXNfF1NSUzIVeWFiQWuzk5KSkXUkQdBVjTZcR9IkTJ5DP5zE3Nyf+0HT96vV68Pv9SCQS8Pv9OHz4MGKxGC5duoSzZ89ifHwcm5ub8Pl8OHz4MM6dOyeLCwCSHmYvMuuq7373u/Hss8/iscceE4OPkydPSt23Xq+jUChIFM40OFPkFMWVSiV4vV6k02lxIaPhiBnFAhBDE7qg0RZ1cnISS0tLsgjo9XqiQt/e3hYPcH4eXDhQbFatVjEyMoLV1VUxlen1euIWRlX46OioKN7n5uawuLgovud8HVuyaM4C9E1P5ufnZcqWz+fDoUOHEAwG8YlPfMLWoC32DWwN2mKvOFAisTe84Q1ykx4ZGUGz2UQul8N9992HZ599VkxAAoEAHnzwQfzt3/4twuGwRFg0+WDPLtOyzWYTvV4P9Xp9SN1M4dPhw4elvku3rHK5LMKyVquF+fl5LC8vi+MV26Q4CIOvY1qbArdQKIRv/dZvxfLyMnZ2dlAsFmW0JhcgXq9X+qkXFhbQ6XRQLpelR5hjGnu9HiYnJ3Hp0iWZ8HTffffhzJkzACDe5fQQ5wxqTpLa3NwUn/Fut4u77rpL0s6bm5sA+osKErnWWhTu7XZbbFfvv/9+VKtV3H///fj85z8vC6F0Oi3XnCYwlUpFUuDvfe978bGPfQz1eh0A5H3xeBwPP/ywWI8uLS3h2WeflWOlViCdTotf98jIiHUSs9hXsARtsVccGIL2+/06lUrJTZ79w4VCQdKZkUhESMJxHFy6dEl6kDkC8eLFiygWi1JPZeqWIyS11tBaS3tRrVbDiRMnZJpSuVzGl7/8Zfj9fiHFUCiEbreLQqGAYDAI13WRyWQwOjoqHuAUQZXLZVGbU1m+tbUl0bhpQMK2MKqbXddFNBpFPB7HsWPHUCwWcd999+HEiRP40Ic+JKSby+VENEeyp2UmBV2sUxeLxZcouE1nM2YHLl26JLXiXq8nUTYd11zXleMfHx+X8gPnRe/s7CAWiyEQCKBer6Pdbg99jtPT0yiXyyiVSmJ1Oj4+jkgkgo2NDdx9992YmppCrVbD6uoqlpeXZTHGBcPx48cxOTmJ1dX+oKGvfOUrlqAt9g0sQVvsFQdGxe31ekW4RAJhVMoJUyQ9AGLhSQMT1j2np6elv5hkRQXysWPHJMXdbDbRbDbFd5pEyZowAFFsz87O4uzZs9Kr7PV6MTk5KbXgkZERicaVUuLapbUW5y8O3QiFQtje3kYsFpN+YzqCOY6DZDKJUqmEzc1NpNNpmZzFvmkAePOb34xLly7hxRdfhM/nE4eyU6dO4amnnsIzzzwj4x0ZpefzeckqbGxswHEchMNhEa5xLCSHgbClCui3gvF4w+GwjNPk9tfX18XStN1uo1gsSp86PwdmMRiJc8zn5OQkOp0OarWakP273vUu/Oqv/qo4pk1PT8sCqVAowOfzYWRk5FZ/RS0sLCxuOfZFBO26rn744Ycl1UwFM0l5dHRUUqNULXNcIWuvs7OzcBwHL774Ira2tkSElUwmEQgExB6UaWn2DrPmzLo0e43Z79vtdqG1lpT2zs4OfD4f0um0pKADgQDC4TBc10WpVJI6cb1eR7PZxLd8y7fgs5/9LBqNhii76/U6ZmdnAUDeT2V0sVgUv2/XdaWPOJPJIBqNik93rVbDQw89hEwmg52dHUxPT+OFF14Q61OatjBFHAqFUCqVkMvlJMJ/4IEHZMjI1tYWvva1r0mamosV02I1Go2iWq2iVCqh1WrJtLGpqSlEo1Hk83k0m0285S1vwYULF3DkyBEZfUmRHk1dkskkJicnUavVkM1m0Wg0MD4+jna7jUuXLsn3g4s1pRSOHDkCx3Hw+OOP2wjaYt/ARtAWe8WBSXGHw2E9Nzcn9pAc18haNMVe1WoVgUBA2qnuuusuSUVTZdzpdLCxsSFRd6PRwMjIiKS6WS8FIIuAYrEowifab1KURnMN1njZe013LNau6Y+dz+fxwgsvYGJiAq1WS3yno9Eo1tfXRcHs8XgwMTGBhx56CKurq1hfX0cul0MymcT6+joefvhhUV8DfZIiqTIzQBEW29CoSiexRqNRtFotlEolGbRRKpVkO3w/e6upPGd0ffToUfj9fpw9exZTU1OyiKAjmsfjQbFYlLandDqNqakpuUZUtx8/fhw7OzvI5XIoFAqSDqdKvVQqYXR0FN1uV36npery8rKM32RfdTqdxpkzZyxBW+wbWIK22CsODEFHIhH9wAMPYGNjA+l0WsZCmhFrLpcbSl9zvGQymUQul0O73UYqlUIqlUImkxEFNFXUTGVHIhEUCgWsr69jdnYWzWZThjM0Gg0ZeFGv16G1HmqnGh8fB9An8cnJSUm5p9NpbGxsYGtrSwiV9W4qubmQYEqbNdpkMolut4tOpyPDMeLxOGKxmKjX6SHe6XTEKjSRSIgojHaahUIB4+Pj0Fojm82K8Iopdl7DkydPotfrYXFxUYaQcH603++HUgrZbFayFfV6HcePHxevc5/PJy5ozGJ0Oh2pT/P8Go0GHMfB6OgoDh06hEqlIqp8pv4pqOOiolwui3AvEonI5C2WBHisKysrlqAt9g0sQVvsFQemBu26Lo4dO4ZoNIparYZ4PI52u41cLgcAEp2SoJmWZuRHB61ut4uLFy9KxNtut6WWSh9uKrGj0Si2traEHNi7yxoro+Lx8XFsb2/LcAig34/N3uy5uTmsra1he3tbplxRDEYh1+XLl+E4DorFIubm5iSqZpsVa9hcLFAE1uv1ZLgHh4FwoTExMSHEzDT88ePHsb29LS5oFIdls1k8+OCDCIVC2NrawpNPPolwOCyzoE1nNl7vqakprK6uIhQKwefzyTAOGqrcfffdmJ6extmzZ2UBAlxxRPN4PBI5r62tYXp6WqJzGq/QVIUmJ7RqXVtbQ7lcxsLCAjweDxzHwfT0NFZXV+Hz+YZasSwsLCzuVOwLgqY1JIlxbW0NjuMgFAohmUxia2tLSISp7mg0ilgsJr7VIyMjYg167tw5qV8fPXpUCJMKa3o+s7bKKJUWnVprVCoVaK0xMzMjkSR7tOn2RZMRCqO63a6k5IPBoJAk90GzE7YO0d0rn88DgEzAYtr5B37gB/DpT38an/vc58RHnBab999/Px5//HHxBW+1WpI5YKTMiJ3XsNvtitGHUkrayZhyB/pp/2aziXQ6jdnZWakNs30M6BP4Cy+8gGq1Co/HI8NG+H6WBvL5PMLhMHq9HkqlEhzHkYUOF1sUjLGEwOMwywYcmsJ6vxWJWVhYvB6wL1LciURC/+AP/iCq1Sqq1ar0OJtTrebm5sSGcnV1FS+++KJEmACkHYrtVNFoFK7rYnx8HIFAQGrPHo9naFZzsVgUi890Oo1ms4lIJCItUwAk3cq0e71el57nZrOJkZERqZnSDpSmG91uV/yvd3Z2xIGLx7Szs4OJiQlEIhGMjo7i3LlzCIVCYs/ZaDSQz+eRyWSk3cnv98NxHCFa9h17PB686U1vwunTp8XmlMptWoZyuAU9zUnkVLDfc889WF9flyiY55LNZoW8zdnQzHocP34czz77rPhycxHEf5PJJJLJpGQ2er0e1tfXMTIyglgshq2tLZTLZZw4cQJnz54VH3LO8GZfOQ1mPvrRj9oUt8W+gU1xW+wVBybFHYlEAPTVzE8//TQikQhSqRT8fj8ymQwSiQQKhQK8Xq+QztGjRzE/P4/t7W288MILQhqcikRB2MbGBqanp4fGWNK7mgSaTqelrspo2oyGx8fHRS1OVTWju1qthre85S1485vfjEKhgE996lOi7mZ7Eeu2b3vb27C2tgaPxyOjMGm3GQwGcfHiRSF6oN8H7vf7cd9994lozXVdWciEw2EcOnQImUxGbDK/8IUvoFKpIJ1Oo1wuS0va1taW2G3yPFmjZr9zIpFAKBTC/Pw8PB4PVlZWJK09OTmJSqUix8YaO3vFM5mMtGvR8Y3uaRyisbKygkQigWAwKBmHiYkJKUOkUikZjkHdQD6fl8xFp9PBxMQEnnzyydvzRbWwsLC4hdgXEXQ4HNbHjx+XyNbn8yGVSknaNBgMIpPJALhSIz58+DA2NzextrYmN3vXdeG6rgiw2JucyWRw6NAhAJDWKwqPfD4fisWitD8xPV2pVMR6E8BQr28wGEQgEBB3q1qtBtd1oZTCzs4OWq3W0JxoLkCazebQQAxG5LOzswgEAiL4orAMuGIcwranmZkZxONxjI+PI5PJSF2WLUystfd6PWxsbMjCgl7ejMA53Ys9zRy7OT4+Lup5GqNwVrRSCiMjI3AcB1tbW9jZ2ZFMBCPn6elp6bVmLzQV55OTkxKdT0xM4OjRo9LfzGidZiX8HDjJi6NGp6enEQgE8Nhjj9kI2mLfwEbQFnvFgVJxT05ODs1t5lhI1h0bjQamp6fRaDRw8eJFMfdgzdjj8Ui0lsvlxKoSgNzcA4EA5ufn8da3vhXf+MY38OSTT0o9mFFcIpGQ1qRarQbHcWS4Bp236GlN57NYLCaEdvbsWRn6QeXx6OjoUFo5l8uhXq9jcnJyaFAHRVq0uaSIigsDoD8Viqnpc+fOIZFIiPKcanJTKKaUkt5piuZI2qFQSHqZSeyM6tkD7jgOKpWK1IJ5HKyvs+UrnU7DdV0sLi5iZmYGhw8fFgV4JpORRYLP50M8HpdU+0MPPYQvfOEL8Pv9MquainzO3gYgc7drtRqCwSDW1tYsQVvsG1iCttgrbghBK6VmAXwMwASAHoAPa60/qJT6JQD/FMD24KU/p7X+zOA9PwvgRwF0Afyk1vqxV9pHIpHQv/iLv4hPfepT2NjYAAAhA0ahJG9Gfq7rYnt7W2w7vV4vDh8+DK01nnvuOfG5DoVCCIfDmJqawosvvih1zePHj2NzcxObm5syn9nv96NUKsn0K7Y30dXK7/eLO5fruohEIlLTZl1ZKYWNjQ2Z7jQ7OyuCJ6/Xi2w2K6RND2yz99rj8chkrnK5LLVmAIjH4yJSGxkZwcrKitiSejweBAIBrK2tie/42tqa1LO73S6mp6dlwROLxbC4uCj9yoFAQBYKAKSmTTEXFyT1eh2tVkuGe7zxjW9EJBLBiy++KK1TTGFzgcTFUSaTQaFQwMzMDEZHR5HJZKS+TM0BSwexWEyU8hQGMhWfSqXw3HPPWYK2uCZuxf1r8B5L0BZ7wo2qQXcA/LTW+mmlVBTAU0qpvxw892+11r9uvlgpdQ+AdwI4CWAKwF8ppe7SWnfxMuh0Ovj4xz8udVWqgqnKrlQq0u/sOI6QL2u3wWAQkUgEmUxGIl2SGfuFs9mskODOzo60NwEQAqzVaqJqdl1XDEkikQi63S6CwSBmZmYk6iwWi/D7/VK/TiaTUEqJoQrQT8kzejSHSWSzWUQiEbEEHVw7WZSUy2URukUiEeRyOVSrVdTrdUSjURFsbW1tYWJiQgRlrGmHw2EcPnxYzFJarRZOnTqFYrGIUCiEJ598cmhWNVPSHo8HuVxOzFzYQhWPxxGJRKQWzFp/oVBAq9USRTxLACMjI9JLHggEUCwWkU6nEY1GkUqlMDExgZWVFWQyGXE8C4fDUgdntN9qtZDNZhGPx6W2zXKHhcV14KbfvywsbhauSdBa6wyAzOD3slLqLIDpV3jL9wD4hNa6CWBZKXUBwMMAvvxyb6BAielkjjlkVOo4jowt5NAH1nNpsEEXLhIsPaSbzSaq1arUihmZa62FoDmUYW1tTXqi2+22iMFmZ2dRr9eRz+extbUldXAKs4B+W5DjOCJwuu+++zAxMYFnnnlGDFW2trYk1Vyv15FMJlGr1XD58mURRRUKBSGpVCqFUCiE5eVl3HPPPXAcR6JsCr6CwSAAYHt7e8iFq91uY3t7W0Ru4+PjWF1dlbT91NQU5ufnkUql8JWvfAW5XE6mfAGQtD+V0yRhLhgqlYoM6qDwjVE2e5/D4fDQ3Gu/349gMIhz587h9OnTQvw0RuE1Hh8fRywWw5ve9Ca88MILKJfLIryjVaiFxfXgVty/LCxuFjx7ebFSah7AAwAoo/1xpdRppdRHlFJsTp0GsGq8bQ1X+YNQSr1HKfV1pdTXqQZ++OGHMT4+jtnZWbGD9Pl8cF0Xly9fRrFYlJajSqWCaDSK2dlZvP/970er1ZI+5kgkgmKxKClcAGJt6fP5MD09jWw2K3Xser0us4nZ2xyPxwH0iSqTyeCbv/mbEQwGxU2MlppaazQaDTFW4RStWq2G8+fPo16vIx6Py5znYrGIRqMh0e/ly5cRjUYlXc6eba219GyPj4+jVCrh4sWLePrpp/HUU08hm81KdEvzFi5ICoWCzGoOhUI4f/48FhcXpVbtui7C4TDi8Tji8ThOnTqFo0eP4uTJk/D5fBgfHxdrUKb6w+EwlpaWUK/XEYlEkEgkhDgZ6TKijsViSCQSkh0oFAqYmJjA7OwsdnZ2JBMxNTUlg0oOHz6MBx98EIcOHZLsxblz57C1tSU98Uy587OxsNgLbuT9a7A9uYfdpEO2eJ3jutuslFIRAH8C4Ke01iWl1G8D+D8B6MG/vwHgRwBcLa/+kvqM1vrDAD4MAGNjYzqRSGBpaQnnz58X0RLQTzsfOnRIphixtWlqagqNRgNf/epX8bnPfQ7j4+PIZrPweDxYWFgAACHDbreLcrmM+++/H9FoFOfOnZMpSdlsFsFgUHy5gX7bFx2x8vm8DKHw+XzIZDLS9lMoFCTCb7VamJiYEIHb2NgYzp07J25elUoFR44cQbvdxszMDFZXV9HtdrG9vS0iNI6vnJubkzT29vY24vG4TOeiUpspc/ppU1BFAdv8/DwuXrwIAOJxnkwmZSLU4cOHMTc3hz/5kz9BoVBAt9uV3mxGxnQtW11dhdfrlb5zztTmAoJqeRI+ywgApEa+vb2NlZUVmYy1sbEhlqaRSESmbgHA1NQUlpeXxd6U3t4AJKK3sNgLbvT9Cxi+h9katMXNwHXd6ZRSDvpf7o9rrf8UALTWm8bz/wHAfx/8dw3ArPH2GQCXX2n7NLPIZDJoNBrI5XIIh8MikGIdmMrfaDSK5eVlceViWrZUKuGuu+7CysqKDKgwe4bpcDU9PS3900yHj42NiZCpXq8P1XM3NzextLQkQjKqymOxGMLhMNLptESQy8vLUg9vt9uSbu52u1heXkY4HEatVsP4+LiI3qrVKrTWGBsbk17nUCiEer0u6d56vS6mLH6/H+12W9zJqJZeX1/HsWPHpL3q2LFj2NnZkQiWtp4A8Pzzz+NrX/uaiO5oxclRmeZ1pY84e5xpQ0q1/NzcnGQgdnZ24LouZmZm0Gw2sbm5KV7nMzMzYl7CBVEmk8HRo0fhOI7Uvjnz2efzYX5+XiJzRvSs71tYXA9u9v3LwuJm4XpU3ArA7wHIaa1/ynh8clDfgVLqnwN4RGv9TqXUSQB/iH7dZgrAXwM4/koiC6VUGcC513oy+xRpADu3+yBuEm7nuR3SWo/epn1bHBDcivvXYBv2HnYwcbvO7bruX9cTQf8dAP8YwLNKqWcGj/0cgH+olLof/fTPCoAfAwCt9Rml1KcAPI++gvJ916GAPHentswMauz23Cwsbg9uxf0LsPewA4n9fm77wqhkv1+k1wJ7bhYWdz7u5L8Fe263D3tScVtYWFhYWFjcGuwXgv7w7T6Amwh7bhYWdz7u5L8Fe263CfsixW1hYWFhYWExjP0SQVtYWFhYWFgYsARtYWFhYWGxD3HbCVop9Z1KqXNKqQtKqZ+53cezVwxsAreUUs8ZjyWVUn+plDo/+Hdk8LhSSn1ocK6nlVJvvH1Hfm0opWaVUp9XSp1VSp1RSv2vg8fviPOzsHitsPev/Ys74f51WwlaKeUF8O8AvB3APej3Jt5zO4/pVeA/A/jOXY/9DIC/1lofR9/ogH+4bwdwfPDzHgC/fYuO8dWCk4DuBvBmAO8bfD53yvlZWLxq2PvXvv/7PvD3r9sdQT8M4ILWeklr3QLwCfSnyRwYaK3/B4Dcroe/B333Igz+/V7j8Y/pPr4CIKGUmrw1R7p3aK0zWuunB7+XAXAS0B1xfhYWrxH2/rWP/77vhPvX7Sbo654cc8AwThvBwb9jg8cP7Pmq4UlAd9z5WVi8Ctyp3/c77u/7oN6/bjdBX/fkmDsEB/J8d08CeqWXXuWxfX9+FhavEq+37/uBPN+DfP+63QR9YCbHKKV+Tin1H6/z5W2l1McH75sEsDV4fM/nq5TSSqljez3eG4WrTQICsMnUz2s9PwuLA4w79fvuV0r9NPDa/r6VUvOD+9dtmw970O9ft5ugvwbguFLqsFLKD+CdAP7sZu9UKfXDSqlnlVI1pdSGUuq3lVKJV3qP1vpfaa3ffZ27+M8Anh38/kMA/tvg9z8D8E8GasE3Aygy1fJqoJR6XCl1vcf0aravAPwnAGe11r9pPPVn6J8XcBPPz8Jin+N23b9WlFItpVR61+PPDAhx/jXuYgfANw1+v5n3rxWl1Le/tkN9xe0f/PuX1vq2/gD4LgAvAlgE8PO3YH8/DWATfeWiA2AewGfQ/2Pzv8x7fK+wvf8CIAOgjf4K7EcBpNBXB54f/JscvFahr/pcRJ/A33Qdx6sBHHuZ5x4H8O6beK3eMtj/aQDPDH6+60aen/2xPwf551bfvwb7XEF/tOVPGI+dGjymAczvYVtXu3/9DfqCqtf09z24t+qXu38OzuPbb+J1OvD3r9u681t+skAMQAXA9+96PIJ+muNHBv//JQB/DOAPAJQAvHvw2B8Y7/knAC4CyAL4P8wvm/la40v6QwAuob86/XljOw8D+DKAwuAP5bdgLBRwnQQN4K2DP7D3D84lg746kTeQHICf28N+v2PwB18E8O8BPAFjMQDgRwZ/xHkAj6E/3/S2f8b2x/7c6T+De83/DuBrxmO/DuDnYRA0gL8H4BuDe9gqgF8yXh8Y3N+yg3vA19AXT+2+r0wOCO5fDP4fRz8qzQBYB/ArALyD57yD49gBsATgfbhOggbwwwC+CODfDo5nCf0o/ocHx74F4IeM977suQ2ef6X7swf91qrFwfOfwoCk99vP7U5x32p8E/pfzD81H9RaVwD8OYC3GQ9/D/oknQDwcfP1g166fw/gXeh/geO4ttrvLQBOAPi7AH5BKXX34PEugH+O/uDwRwfP/7M9nhcxgf75TQP4BQD/AcA/AvAggG8e7PfItfY7SJ39MYCfRX+1eQ5XUl5QSn0v+jN1/wGAUQBfQH8lbmFhcWvwFQAxpdTdg37sH0CfcE1U0SeqBPqE9t7B3y7QDxji6NdcUwD+FwB1882DVPkTAH5La/3rg4d/D/3+4mPoq6K/A/0ABgD+KYC/P3j8TQC+b4/n9Aj6i4EUgD9Ev23tocG+/hGA3xoIvl7x3K7j/vyT6Acv3wJgCv0g49/t8VhvCV5vBJ0GsKO17lzluczgeeLLWuv/V2vd01rXd732+wD8f1rrv9H9/sdfwLXVfr+sta5rrf8WwN8CuA8AtNZPaa2/orXuaK1XAPwu+l+cV4M2gF/VWrfR/3KnAXxQa13WWp8BcAbAG65jv98F4IzW+k8H1+pDADaM/fwYgH+ttT47eP5fAbhfKXXoVR63hYXF3vH76JPU2wC8gH5EK9BaP661fnZwDzuN/iKaf+Nt9InwmNa6O7gfmArne9CPpH9Ra/1hAFBKjaNv5vFTWuuq1noL/Yj3nYP3fD+A/1trvaq1zgH413s8n2Wt9Ue11l0An0R/8fAvtdZNrfVnAbTQJ+trndu17s8/hn4Wc01r3UQ/4/l9t1PM9nLYdwd0k7EDIK2U8l2FpCcHzxOreHlMmc9rrWtKqew19m0SXA39tDqUUncB+E30V5wh9D+Tp66xrZdDdvDlBq6shjeN5+vXud/d56eVUmvGdg4B+KBS6jeMxxT6q9SLr/LYLSws9obfB/A/ABwG8LHdTyqlHgHwAQD3AvADcAH8kfHeWQCfGAhk/wB90moPnn8XgAvoZ9KIQ+jrdjJ9/RWAfpDHe8XQfQN7vxfsvldBa/1y969XOrdr3Z8PAfivSqme8VgXwDh2LXJuN15vEfSXATTRT80KlFJh9FeGf208/EoRcQZ9CT7fH0R/Nfpq8Nvor36Pa61j6KeOr9aPd6PxSvvdfX7K/D/6X/4f01onjJ+g1vpLt+C4LSwsAGitLwJYRj/j9adXeckfoq9MntVaxwH8DgZ/41rrttb6l7XW96Bfvvr76EfjxC+hH7D84SCFDvT/7psA0sbffUxrfXLwfAbDbUpzN+A0Xw4ve2649v15FcDbd92/AlrrfUXOwOuMoLXWRQC/DOD/UX2Te2dQZ/kj9AVWv3+dm/pjAN+tlPqmQXvFL+PVk2oUfaFDRSm1AOC9r3I7N3K/nwZwSin1vYO0z/vQr28TvwPgZ5VSJwFAKRVXSr3jFh23hYXFFfwogG/Tb0yEZgAAIABJREFUWlev8lwUQE5r3VBKPQzgB/mEUupblVKnBuRbQj/l3TXe2wbwDgBhAL+vlPLofsvRZwH8hlIqppTyKKWOKqWYWv4UgJ9USs2o/gCKmzk85GXPDde+P/8OgF9lSU4pNaqU2pcWra8rggYArfWvoR8t/jr6X8wn0V9R/d1BPeJ6tnEGwE+gX+fNACijrzK8rvfvwr9A/8tVRl/U9clXsY1Xg5fdr9Z6B/0/zl9DX+V4D4CvY3B+Wuv/CuDfoJ8eKwF4Dv0MhIWFxS2E1npRa/31l3n6nwH4l0qpMvp12E8Zz02gT2Ql9LsxnsAukdmgfvsP0LfC/IhSyoN+lO0H8Dz64qo/Rr88CPTvI4+hr7F5GleP6m8UXvbcruP+/EH0o+/PDt7/FfQFavsOSut979S27zFQFhbQTxcv3+7judEY/GGuAXiX1vrzt/t4LCwsLK4XB/n+/LqLoG8UlFLfrZQKDerXv45+Y/vK7T2qGwel1P+klEoopVxcqU9/5TYfloWFhcU1cafcn28aQasDPsj8OvA96Pu0XkZ/fug79Z2VjngU/Ub+HQDfDeB7r9JuZmFxR+J1cP+603FH3J9vSop7IDx4Ef3+vDX0XWr+odb6+Ru+MwsLC4sbCHv/stgvuFkR9IEfZG5hYfG6hb1/WewL3CyjkqsNvh5SySml3gPgPYPfH/T7/QCAbrdLL1UopeD1eqGUQqfTgdYabJDv9XryGv7rOA663X6ngLkNvo+P0ed09/Pma3Ydq7yH+zPfv/u1fN48NvO4e73e0H6J3cdnPsffPR4PtNZy/ub2uU1z+3yPeR6797f7Ou5+vtfrveQaXgvX81oe1+7Xme99ud97vd6O1nr0ug7GwmJvuOb9Cxi+h6Fvp2thcd3QWl+zNfdmEfQ1B18P7OM+DAB+v18nk0n0ej10u1358Xg8aLfbUEohFAqh1Wpd2YFBekD/Zu/z+eD3+/sm4x6PkHWn00Gv14PjOEJwJP5WqyXk0+l0ZFFAAtxN3iQrx3HQbrehtYbP55PXhEIhtNt9Mx4+zvd4vV7ZZqPRQKfTgd/vh1IKjUZDtrcbvV4PrusiGAyiVqsJAXs8Hjluc388b/6ulJJrwwUQ38PzchxHno/H4ygUCqjVanIMfJ/jOHJNzeMzFyC8FubjjuMgEomg0+nIduPxOHK5HHq9nnwuJrxer1wzvobfgUajYR3LLG4Wrnn/AobvYUqpA1fftNj/uFkEvafB171eD41GA16vF/V6fejGzpt2t9tFMBiE1+tFs9kUMiUhdjodBINBLCwsoF6vY3W1vwBOJBLQWiOXywlRe71eIV6SokkE/J3/B65EriQ0Lhy4EPB6vQgGgwAA13XRarVQq9XQbDYlsmeU3263ZT+9Xg/tdhutVku2Zx4jFxutVkv2SbRaLXg8HiHqYDAoxEmS9nq98Pl88Hq9cv68ptx/r9dDp9OR61osFocidS4i+Bi3Y0bu/L+5CPF4PLKPbreLYrE4lL3IZrPyWh4vMBwp87MxF1YHUOthcbCwp/uXhcXNws0iaBlkjr636Tsx7PTyEjSbzZekZs0o0SSBSCQixNrtdiX66/V6WF9fl/d4PB4UCgX4fD5Jp5IQO50OotHoEDGQUMzHSDA+nw8+n0+OzYygSdJaaxSLRSE9brPVagnpMjPAY2w2m0PpeW6P0a9JVN1uV86Tx2RmGcrlsiwiHMcRMiNBmsTm8/nQ7XaldEAiNyNrXlvHceT/XGjw8+B1JYma0b25wDD3z/Pjce0mZB4/t8f9dDodyZRYWNxE7Pn+ZWFxM3BT7nRa645S6sfRd5XxAvjIwN3lqjBv1ACGIli/349WqyVRW6vVQqvVkhS167rw+XxIJBLI5XLI5XJCgkz/1uv1IfLr9XoIBAIAgEAgIARKeDweuK4LAGi323Bdd4jgr5YK93q9yOVyQnZmjdzv9w+RDV9v/k6CLJVKaDabL6lhc9+NRmMou7Cb0EnanU5HUui8nmYUn0wmEQwGUSgUUK1WUavV0O12EQ6HhdS5IGk2m/D7/XBdV65LLBZDo9HA9va2pPTN+rff74fjOBJxm3V1s/4eCATkeHmuXFyw/MAfLgLMBZSFxY3GXu9fFhY3CzctFNFafwbAZ67ntSQ73ojNdOnu3810KInNcRxks9mhWqaZ/mVkbIqrfD4fYrEY6vW61FUbjQaAPkEzsjXJgbVT1pAZWZLgScK7z6nRaAix8ViAftYgEAgIkZXLZSF/M6pkZGum2M2MgpkaZ4ahWq0KSfOaeDweRCIRhEIhAEClUkE4HBYibrVaErkC/cUJ0/c+nw/BYFBey/fyepg/u0sHXICZJMzPj+83Fyvm9eP+uDAyyx8WFjcLe7l/WVjcLOwLq0+v16td1x2KFHfXMM20qSlsYsTHiLrdbiMUCgmJmERrpkbb7TZ8Ph/C4fBQbRroEyeJmwIrU4xlKqrN2jCJjaTG/XY6HYnCefzdbleIiwRtLkY6nc5LRGMkLJIzyXd3pL07xe3xeBCLxRCLxSSVXigUEAqF4PP55Dpxm9wXa+V+v1+i8VgsBqUUKpUK8vk8Op2OZCx2K9R5LEynm1kSs1TAHwAinnMcB67rymdiRtkAsL29/ZTW+k035htoYfHaYEViFnvF7VRx7wkkJTMFSwIj+ZmRHQmu3W6jUCiIQCscDqPVaiGfz0vNmCnser3+EuVxp9NBNptFJBIRImMUyNQr0+tm6pjHaaqlTeJllG8uMkhiJGymo5kBYD3aJGYzNc3j5X4Y0TLqJ+EFAgGkUlcmq/F8ms0mut0uYrEYOp0OAoEAtre3h7bLRYzP5xPluKledxwH1Wp1SHFtZg64sOLrzc+L2zUjaZ6beb3MBUi1WpVrTBU6U+8WFhYWdzr2RQTtOI5Op9PQWqNarQopk6QYkZrRlEkIwBVBGSNK13UlMibB8XVmenh3CrzT6QylXoF+NOn3+9FoNKQ+7DjOUCsW/zWJrdlsSiRtEhC3aUbcpiLarJmbafbdwixuy0wZJ5NJua4ejweO4yAej0sUXKlUJGouFouycDCJEQBSqRSmp6eRz+exs7ODdrstkT0XR1drwzJhRsvm+ZnXi68z98/XAXgJ8fPxVqtlI2iLfQMbQVvsFdcTQe8LgvZ6vTocDsN1XREkeTweIaqr1ZLZD8u+Z7OGaaZ9gSviKlOsZUa8hFmrBTBUX+ZCwYzymUYmeVFRbaZyzXQ9j4/nwPQ9j5fnwbQ5gJdEozwuPkcS5vVhlBkMBjE3N4dkMolyuYylpSW02215nteW15zvNXul+d2oVCrw+/0S0ZpEyevGhQhwpXZtfrdM0t0tcjNLBqbWYLcpi0nezWbTErTFvoElaIu94sAQtM/n0yMjI0ilUlCqb9pBZXahUECpVJLHiFAoBKUUarWa1CzNum+tVhPSIXGapiQkJvM9jIqZZt4dIe/u6wWGRU0UglHoZbYI8YcKdDOCJumYxidMrXO/XCyYYjq2l7Xb7aF2NJ43cKWPu91uw3EchEIhKR2YxGrWm6lc73a7aDQaovDmtTDJmQsNM1PAlDmPnSlzczFkRtEmcZtiN4LXjqTt8XhQLBYtQVvsG1iCttgrDkwNGoAYkOw21mBKFbgS4ZrRr1mfptrZJAKSDDAcsZFEd9eLzZ5dM+Vrbo8wrSrN9C3r1UyZk2y4XXObNAEhkbOtzFR7m6lf/t+M0M2aMDMKjMB5fAAkPc96MNucAIjgDIBoABgJm9fd3J4Z+XIxYZYFzNebj5sGKbt7pM3sA8/T1APshwWlhYWFxa3AvoigvV6vTqVScgNmupskzciRqV/TqCMcDiMSicDr9aJarcpNv9lsiiFJs9kcir5NgjEJmmI1sw+bxLWbIMyFARcSjKCj0agQFJ3RgsEgms3m0DYYpZrgwmN33ZwEzX8puDIjTZMweb67FxiMdHmOPp8PoVBIiDqfz6PRaAyJuVzXRblcfkkUe7Wo2BTF7W6HMhcyu9PYZmZg92dhCtL4XLlcthG0xb6BjaAt9ooDE0Ezxcqbdb1eR61WE1U2o1BTyW32O5dKJbmZx2IxFAoFaWuihaaZrmYa10wrszbLXmASHCPNRCKBTqeDcrkMn88n72da1nXdl0Tn3W5XrD6Zimcq2oyOTdJyXReNRuMliwh6cZtOaGzP4gKG58w0PU1KeKwkVK/Xi3A4jGAwiHK5LA5lnU4HIyMj6Ha7uHz5spxLvV6XBQHB//M6Meq/mtDLcRxZxJgwP0uWKLjgMcV9JmnzeltYWFjc6dgXEbTP59PRaPQlUaKZDjVv+OYACPO1gUBAnLbMNp3dKVmzX5fYLbwiQqEQHMdBKpVCtVpFq9VCo9F4SWoZgCjAfT6fpJNNC0yzVss+bNbHzVSvz+cbcuEyswWsrTPiBfr15Xa7jUajgZGREVSrVVkYkNyYSm+32wgEAgiFQkLezDLw2pp1Yy4IdqvQzRozYQrwTHMVc3G0O8VPkqchCT/bQCAAr9crfdFm3V5rjVwuZyNoi30DG0Fb7BUHRiTm9Xp1IBCQaJFGI/w/08IkN7NWzBt8IBAQMiEZtVotVCqVIWIwI1ez/5ivMdO3fr8fqVRKSJKTl0hevHb8v8/nw8jICBzHQaVSQbVaHUrXmhakpmWlSXokIk6uohgsGAy+RNFM4uKCpFKpDJmpRKNR+P1+FItFiXi9Xq8I7Hj8jUZDJk1Rtc7j9vv9iMfj0mJG57HLly8PCcPMGjyP01SgG+prfuZDdp78P7MM5uQxgguGbrdrU9wW+wqWoC32igOT4iZ4M67X60MuWGakt9s5y7TTZCTGyNFxHAQCATHpMIdmcNvBYFDq2rvrpzQyMV21gGEhE0mFaWil+n3MbF2i+M2MpqPRqJAvz8OMWgFIvZ2PM03MxUu1WhViZ72YUblJ3LtFXtwW98FMAnuaW62WpPUBSIqbqvdCofASRzBOIjPr96YojMdoRsqmKxrLDGYpwzSGYWS9e7CGhYWFxZ2MfUHQZmRIYqQK2Yw4eaM2X8tIj+Tm9XoRjUYRjUaRz+dl5jDnLZPU2XZlmqDsToEDkNSxuS8eMzBsMmIqyKPRKDwejzhv8VwoDGNUPjY2hkgkgmKxKO1kZvSqBy1j7LU2r5k5ZtP03GbLV71el/3yX0atZtrYtOvkpDBG5SRS8zPh/s051Pw/6+EkY2CYpLnQMAVnFNdxu6Y5TTweF/Ef6/w0WrGwsLC4k7EvUtwej0czqjNBUmTKc3fa1BQVMQ3MiJqkaZqBkLAYlZFMds92JtmaEe7VPKZN0ZLP50MkEpFj535pCAJAhGjcHs1O2LNcLpelvs3zNFuhjh8/jmg0ik6ng9XVVfR6PZRKpaFI0+zV5uPsBQ8EAqjX61BKYWxsDKVSCcVicejYer2eLC7MqVq7a8nAlTQ7hXjmZ8Zj4fXh50KSNs1ZTC2ASfzmYsxMkw/EejbFbbFvYFPcFnvFgUtxm4RsmniYLT8mOTDSAobTzmaERoMOkjAASfMyQg0Gg1BKSc2Y+91NyLuFTABkqMOg9UciVHMb3GcymZRjjkajWF9fl9oucMUFjcQUCoXk3GOxGPx+P6LRKOr1OqLRKHK5HBKJhCwCTGHXbsMPpsW5OLh48eJQaxOFZpx0ZU72MkmXx08iNR3PzJqxacSye1G1+xqaymySPksGJH9zkbC7fcvCwsLiTsS+iKB9Pp9mlMfjMUVhZmrVbEkCMEREPp8P8Xh8qEc4mUyiUqkIibHeyZYlPkYwgjVJgK1P3D/TwRx0sbuH1+zx5UKCxMmZylR6m6I2HsfIyAhc15V6Lwnc7/cjGAzC7/cjFAphZ2cH8Xgc6+vrQ+RuenTzWpmCNo/HIzV7012NGYerCdjMkZSm9SgV3vzMzG0BVxZSJFyzP5uLLtae+fnvvv7md6HX63HamI2gLfYNbARtsVccqAh6tzKaEdNuYdDVUqm8efv9folmu92upHRpVWmmpKnu5muBK6YeJgnTVcskOkb4fJ1pdBIOh0WtbG6b0Xqr1RLHNJPoGTXHYjGZxuW6rgjFAAiZ8jgDgQCq1arYdzJzEAgE0G63EY/Hpf/YFOBRoGbOzCb5x+NxrK6uCqGaQ0EotjNV3rzuXPiYETd7s0OhEAqFwlD2g9fE3J5pi2p6sJuLG+6P5QoLCwuLOxX7gqBNojX9sClkuloL1O7BGgAkIma0VyqVJPrcDbOeaXpeU/3NujBTuab1Jt+/O2Ls9XqiaOZCgqIwvpYgSbmuK/aeTEPTeYwqc9N9zFQ3m8I5/lDBznPbveh4uTo+wWtqtoSxbYxRNyNc87qbNXnzsU6ng2q1OvQ581wovjOjZb6P6W3TzpUjJ/dD1sfCwsLiZmNfEDRwxZmKkacpTqIimNEpU7+BQAB+v1/SxV6vV0RTvLEzvQxc8dE2a6G8+fMYODea5OP1eoWwSA4ej0eiUC4s+DvblNhjzUUGFw5m2xNJldElMwB0ACNYe6ZJiRnZm33GXLxUq1Ux+fB6vahUKkNtTaaFJqPoQCAgZMqebnOqGFvWaF1q9pwz2jdT5+aMaTMLwOvP4zYXAmaJgK/jNeJxMFK3sLCwuNOxbwg6Go3CdV3s7OwM3ZiBKzVKRrOsYzLyNNXYJMbdLVFm+px1Z0bJJEyzzmw6eLGOyvo0W4C4bTMqNNPa3DZhmoCYUS4jRjMlTdvNdruNer0uamsACAaDAPr1X1p18jhbrRZmZmbQarWE0EjmADA+Po5yuYxSqTRE7oxWzbowDU24L9NQhREta/CNRkPU7CaB8toyXc9zM0nYtAClQQwXM6bgja5rlqAtLCxeD3hNIjGl1AqAMoAugI7W+k1KqSSATwKYB7AC4Pu11vlX2o7X69WRSETSugCGUs+mcAzoE104HBZyo2qaPb3xeBwAJMojITJ9Xq/Xh1LmZgS3e4KT6T5mgkTLliFGpTQooWjNrG/vbhlilG+m0+mo1u32ZzWbYipun6lsEjJrs2YavF6vD6mozRQ3j43k2Gw2xamM6XSq083jNxcbdG/jYoXZDzMzwcUMU/ZK9Q1RzPICn+e1MU1ZzLS5SeqDz9CKxCxeM27UPcyKxCz2iusRid0Ign6T1nrHeOzXAOS01h9QSv0MgBGt9f/2Stvxer2a6mtTyW0aephtPCQQEhZT0kytuq6LdDoNx3HQaDSEfC5duiT7JImYRAxcIVKSMh8fnNtQOttMGZsERmLyeDyYmJhAMpnECy+8IOnuTqcj6Xl6TZOoY7EYXNdFpVIRImULlN/vHxJqMbo1RWamXzWP2WyLMs+dx7k72+D3+8X604zyzbR1IBBAJBKR7Zotbq1WS4RqTIlzP2Z5gdd69wKMi6bd300zmrYEbXEjcKPuYZagLfaK26Xi/h4Abx38/nsAHgfwil9uAFLjHR0dlQiw0WigWCy+JIW8W+VrRsEEo2oAmJiYQKVSkYlNwJXUNOuj/GHUa7pr7V4c8P+xWEwIie9hirfX6yEQCMB1XWSz2SFbTp4LB4SQeDgggq8h4Zp1YzPSbDQa0nLFY8/n83J+poOYGYHyOprnQrD2bNaG+X8ztU/xHevPvG4keJN8d392XEiZn4MptDMXTrv7pc1/LSxuEl7VPczC4kbjtRK0BvDZwerxd7XWHwYwrrXOAIDWOqOUGrvaG5VS7wHwHv7fTL0y4up2u4jFYgAg9VS/348jR45gfX1dSJR1ZxJIp9NBsVgUMjh//ryYkJDcTavL3cIkRuhMX1P8ZCIYDIogjeRq1qodx0Gr1ZKWJY/HI/abFLyRAJnKNod8sA4LXLEb3T1CcrevNlXRrMmbvco8N54XJ32Zftgc0kFTFzPKNW1Bec0oqAMgIjGeAxXtzG64rjsUibO+f7WaPRdOg+8Qvy9DCwkLixuEG3YPs7C40XitKe4prfXlwRf4LwH8BIA/01onjNfktdYjr7Qdj8ej2S9LL2iSg9nDy0lRjuOgVCqJ6IrR3mB/oqw2IzjTc1trLalxM3oz68i7065s6yIZU1RGYjX9phl1mil4sweb7WTAlXnT5jHSc5qKdrP/mcdL+08K3jjMw9yW67ribOa6LkZHR7G5ufn/s/euUZalZ3nY8537vU7durt6umemZzQ4kqwIjKQhRkkgtjHIzoJ4gYMTR8KGiDjgBC+ybC4rILKSmJXFJWAFbHEJCBAYYzCKEzsRWshgQAYhDZKGYYbRqKenp7uqu6rOfZ/7+fLjnOetZ++uma7q6cupmu9Zq1ZV7bPP3t/3nar9fO/7Pu/7xpTnFJCxYheFYaxVrpW/ANj5unaZTMbWO1kilWvIuSeLkqhKW4n6kL81I3XvPaIoCi7ugNeMu/UMCy7ugOPinru4vffXFt9vOOd+DcA7AOw457YWO88tADeOcq1sNou1tTVTH2sbQpLvzZs3jfxoua6trZn6m1YuxWHalYkVqJScgFvdpUpy6nJlOhItR4KkQ3Kl1cvxJ4mV16JLmEIsTTvq9Xo2R+/nVc/oUuZ1GKPWcWnVLi05Sku91WqZy1xj+erm5yaErnu6rLmefB83MyRYWsqHubdJyKPRyPK01Y3PMWo6GjdpFKLxs1I3fUDAa8XdfIYFBNxt3LHP0DlXds5V+TOArwDwWQAfBvCexWnvAfDrR7lev9/H9va2pf+oiGk4HJo4yi+UxlEUodfr4caNG7hx4waKxSLq9XpMcT0ej62cplp2JBCSfbVaRb1ejxUU4bkkeRKOFiHRGC/JSePa3FzwOxt6sN61WsFKWLSgSaAch6Y2VSoVFAoFrKys3DIeJT7+rP2glaTZPIMCPZIjx0exF61jei0AWOydazOdTq2karVajc2NLnR+qbuamxRa0hyvVjHjWujcAgJeC+72Mywg4G7jtVjQZwH82oIcMgA+5L3/1865PwDwy865bwRwBcDXHeVitAZJpEn3M8kawC0k6ZxDrVbDYDCIWd+8Lt3Xqgxmfe10Om1NLijSooVMElPhV7I4iFq6tCK1cAhJj+TN9pNM92Lcl2lNAGLpSiRV7Q0NHNTAVtKl1azNQXivZrOJQqGAarVq11MRHOfKOej60+1OklWxFueooQa6/wGY2l4V4CRYFj4ZDoc2LyDeS1q9D9oGMyDgLuCuPsMCAu427pigvfcvAHjrIcf3APyFO7zmLbWeNUbOYyQCWoWtVstSlxgP1eIX6sbmNRmXrdVqsb7JKmoCYJWx8vm8CatUMa7iqWTdcJKZNqXQxhK1Ws2KbxDJNCS6fGnZkgDpdk6W2VRS1TKfzjkT03FerLUdRVEszaxcLmM2m6Hb7WI2m2F1ddU8Eark5rVU0EUvAz0eAMwSVktalfi8r8am+TlTlJZU7AcEvFbci2dYQMDdxFJ0s3LOeVqpSi7q3lTBEQmMVmkul8PKyopZcnTdUtXMOWpuLgme7wFgSmOKq5J5uiS0ZrMZIyW6wXm9ZLlPdWGT3BnTVTJmgRUAKJfLiKIoViccOHDbUyinbmEAds9kDHg2m2F9fR3AgYtfv9R9z/FQkU0wVMA5qXdDY/dKsITOnWtPiz1pFSevo657AIzTB5FYwNIgiMQCjot7LhK7V9B4MRCvJKYPc6qMR6MRdnd3jayTFbMoEFMLlPdhKlW1WjVLlylCs9nMrD9ejwSeSqXM8qYYiy5rnksLnQTK1zSmS9IH5ir1TqeDbrcbKwtaKpUsjYpEr8IuronG2svlsnW5ovCLCmzev1wuo9VqmVVMdbha1IVCAZcuXcK1a9fw0ksvxVpZAgd53RrrzmazFttWpTffN5vNTDWu11KRm5I/58SNUFLYFxAQEHAasTQWtPb7vd2Y+OBPCrA0JqvWm56vbtSkhcmHP1OpgIOSniRclqHsdDoxctT4Ld9HC5/X1YpbCgrMWOpU65ADB41EkjW3GefVlCXGxzOZjAnJ2NhjZWXFSm0yDazX62EymWAwGMTc6hrXzuVy2NjYQKlUwksvvWRagdlsXsJzMpmY6jqbzdrGgNfUsqRaiEX1AUlrXl8HDsRuHFO73Q4WdMDSIFjQAcfFUSzopSJoIunaTpKaWmYkaW2woHnMJAR1k2rONO+XjOFS3ERXdqlUMhJSUtH0J15b48MkVQq3dI5KPuVyGZVKxYiMZT01Nqsbgna7bWRFy1pTmHSzoWvG15Lue42rcxPC49Vq1cqSKoFqDXTeQ3PCuXFgLjitaC3fqrFvfY9+/rqh4toHgg5YJgSCDjgujkLQS6O2SVq0ejz5uh7jd7q6taMVECdfvY5uCA67JmO9BBXEwAHBMIacJELtxMSiJrT+qNZWQgQOKqUpSEy8hzbNqFQqsa5eTM3SmLtuSljMhGNJist0HZIdo5jbTEuZYjHG3Dl/xtZp3WcyGWuSwWIoWuqUY9GNGDdcJHv1UGh8PCAgIOC0Y2ks6KSlR9ByVOuP5wHxUpBMedK4sVp8PE8tZSUzVWSzAAgtNh0T3d0kXPZQJkHxeroZUEIHYJa+nptKpbC+vm61qrUTF615uvSdcxgOh7GCKCRwVU0r8WkIIElyWiiEsXnWCuc4NM2LZMvPgC56HucGReenqVicg24YdHPm/bxAi4oFNb2t1WoFCzpgaRAs6IDj4kSJxJKkqVbZK7lplXTpSlWFNAAjxSiKbnHjbm5uot1uH+pyVQubebqlUinmIh6NRuj1ekaaJMiNjY1Y7WxN42LDDs0p1pgsuz8p4ZbL5Vs2JizeoutHzwGvqxYtCTZpQVPApvPXTY7Gm5PWrt57MpkgiiIrOqIKbd6bX0rg6iVg3J7HVejHDREAq7UeEBAQcJqxFARNUlH1tVp9quAlyWr5x2SMWi1FdQ0nLUk2rqBam++hVcz3lUol67lMAmfeNfOfSTLMa1YyoUWs7mO1IJkiNhqNLK6rKWCtVgu1Wg2VSsXizMCBlckCLVShU4xFq1stVVVHk0R1o8PrRlF0S4NtpWxSAAAgAElEQVQQ4MBtzvxknq+FU0jmyXzuZCqWbgiSr3FcKgDURh0BAQEBpx1LQdCEEtlhccpkUQsi6cImptMpSqUSJpMJyuWyialIUs1m01y7WmuapEax1HQ6RbvdviXNR1taAogVT6GlSSudRT/oAqcIjSrnarWK3d1dW4MoisyqTKVSiKLI+i/TtZ3JZLC6umqdu2ipcw5arEW9DslNTdK1rJsHXdOkUEvfT1JWpboSroYW9HduilR4pp4OjZ9z3QICAgJeD1gqgk4Ss8acNRZJHKbuToIEp2KupDJa49STycQsNbXs2YYRiIuvkuSjMWHnHDqdDgaDgbnfSTC0CGn1sga5xnXVnQ7ASJ7x7Nlshk6nYwpuiuSSpToPWxveh9fRsMJha8hrKMnruifvo8ruWq2G8XiMbrdrHgzOUV3cyeslPyNucLQsaEBAQMBpxVI86VSopZYbiS5ZSQq4tbNR0uJTVTFbRSZjr7SUNW5L16xCz+U4aPmdP38ee3t7FhNmRyvGrTudDgqFAs6dO4ebN2/esjkAYEVUMpkMqtWqKdEZd6WinBZyNpvFxsYGrl69iiiKsLm5iXq9juFwiG63i729vVvWVt37SfGWCs+4odEYcTIFLvk5JDcpzs0Lnqyvr2M0GsV6c2uu+GFekGQYg2ut+oCg4g4ICHg9YClU3KlUyrMMpz6ID1NqJ9XXek7SAiRpsHtUMm6thS+Aeax5MBigXC7j7W9/O5555hlcvXoVqdS8Njc7NelYDsvZTlqcFDlpqhM7WzHO69xcGV4qlXD+/Hm8+OKLyGQy6Ha7ltdNwgQOiFKrd1FMNplMTPym8d5k7F7XUptg6JortHmFfHbWEjIZ69de1yzaMhgMYqp8rq2q5wm9F0MHvH6n0wkq7oClgQsq7oBj4igq7qUhaC3RmSxMAcQJQy3rw+LSmprlnLNc3CSh5nI5i1FrT2eNlWrslvfSblnJYh+8J0VefE1jp0lXeDabRaFQQLlctntQpKZiKb5HNyKaTlUsFrG2tmZx6iiKTMWt7nNuIpLrBcRd3rrWSuYcDy1+LcLCTYDWKucmgsVXdO14b8ahWX0sl8vZ+2nhD4dDq4wWCDpgmRAIOuC4OApBL4WLm1A3q8afSQiHFdcADnKgtdMUBV9KhtqfmZsBVvzidZLdmlTAxN9JnByzkhnHxlrTbNWYz+dj5Tn1XFrW3W7XlOF6XVr53DAAc29AoVDAaDRCpVKx3GXn5qlazWbT5kLrM6kA1zVUi1zXXtdY85D5uoru+H5VeKtLP1l5jOvHbl2z2QylUslS4+jap4ubVcoeeeQRfPazn31tf2wBAQEBS46lIGiKs16JPHiM39VSVXIADtyr2mCBrRrVAmSFL206wXxptTRJ5qyExWPM11VFMy1Hir84FpJMqVRCqVRCr9ezjloaY2U6EdOkOCft+KQWtOZBl8tl9Ho9NBqNWLtNzk/TmOiqJmnr2icrrxG8J8/TXGe6/pNCL+0KpvF+ADEPAz8Hfl6caz6fx8rKim22ON/D0r8CAgICThuWgqAVSsD8Xb/zZ3U589grKYsPI/7RaGQWJUlS1cWExkxVMKWuX9YBVzcvSWY8Hpvlp5W/1OJU0ZS6nul2VzGXtuUEYG5m3j+dTqPT6djGgWStJE1onjKhiul8Ph8LCdCq1fACrWL9zNRi5pppPBo4UOVzY6LWPeuLa0tKrt/m5iaiKDrqn1NAQEDAicXSEHQyTUePq1AIiDfTIBjnVEtTi2rwQa/CLVYHy2azGAwGaDQa9j4WJiG5aToW780vEinTnBS0Dulm5rVyudwtedTlctkqiSlZq8BLX6OnYHd312LQJFJdO7V6dX10jDxfY/CaRw0glqPMMXFNWSGN1cDK5bJ5FCqViqWD6edZKpVicWlNEeMcut2uvWc8HuPatWu3jCsgICDgNGIpRGJO2k0ufgcQt3j1mLphk65uWl2EEiotSpJUsVi0azvnLBdZLVre9zDXrxYl4TnAQQctXkMtQxK0KqxVpMWxaR6zpiYBiJ1Ld3s2m8X6+jparZbFyDc3N9FsNtFut29xl6vITK/LlDKul45d1zM5NxWD8fxKpYK1tTXMZjPs7e3FXNiM/dN7QXLn/CkSo9Kemxt+fnt7e0EkFrA0CCKxgOPiKCKx23azcs79tHPuhnPus3JszTn3Eefcny6+ry6OO+fcjzrnnnfOfdo59+eOMtBsNotz586hXq+bQIiVttRdfOgEpOoU46q0ULPZrDVxKBQKsSIhdMGSULz3qFQqKJVKtxA5ALOoeS5JJJvNxshORU88X2OzTCUisXI8JCh+5xzy+byp0BnXZa9q3p+u9Bs3blizikwmg1arhdls3lGLMV9dL/6czWYtVYtxYy2JqkSqmyF+8Tq6cZhOpxgMBjYmrh+JmevDHHBNy3ILkZ16PHTeIQ864Di4H8+wgIB7gdta0M65/whAF8AHvfd/dnHsfwOw773/fufcdwBY9d7/A+fcuwD8XQDvAvAkgB/x3j95u0EUi0V/4cIFNBoNc9MqIQCwalwAYtaUisG0brOM/1By4TEl6Ol0amprPZdWMr9YcEOJnIIrqpHVEqbFXCwWzaXL1Cd1QSvZMSY7m80wGAzMmi2Xy7aBAeZkpSp19pLW1CdNYVL3MO9VKBRsDlzvKIrMBa9eDG6gXikljjHlVCqFcrlsmySuWaPRiBEyP1e10NPptG2oisUiJpMJut2ureV0Og3drAKOjPvxDAsWdMBxcRQL+rYxaO/9bznnHk0c/moAX7b4+WcBfAzAP1gc/6CfM87HnXN159yW9/76be6BdDpt3aKYMlUoFMxa4muTyQTD4RCVSgXj8Rj9fj/mYk6WkdR4LYVJJPdkgw6SjKqg1eJMjlffA8AKkjAWralLBIknn8/j6tWrMXKm10A9AdxwJC1WWqWcJ61dkiPHxXsXi0VbGyXHQqFgc9TY9WAwONQVrnFm/qzr4ty8MEyxWLRNwmAwQKVSQT6fj302wEFrTPVO5PN5K2yiaVaquA8IOCruxzMsIOBe4E5FYmf5B+u9v+6cO7M4/hCAl+S8q4tjt/xxO+feC+C9wEFLyGRDi/F4bMeohuYDnARG4hkMBrE8XRIWScotRFTMOWasWknUex9TCNO67Pf7MYIE4jW+ky0o1fJWK52lOFnxi+MhsdFi5WZEVc7cYGhKFgDzOHDjAsxd39VqFY1Gw8Y6Ho+xubmJ1dVV7O/v4+WXX7Z4M63cpNXPz0VLpHKtOM9k7HkymWB/f/8WXQCbf/B3bgi4CdANRjqdRq/Xi4nS+LeQFOEFBNwh7uozLCDgXuBuq7gPM9kPdf147z8A4AMAUCgUfBRFFislIeRyOYzHY4s9qqKaVmS1WkUUReh2uwAOLL2kYjpZSYvtERXM5VXBGptccDz5fN5EWEyfUpJnwRAARuBJC7HZbMZi1BSb8ffkhoDxYc0n7vf7NlYSHMd98eJFbG9v232pUm+322g2m7GWlNxokHBTqRTW19dRKBSwvb1tfbRZBpWehWRNbRW1qbgslUrZNSaTSSyWzHXk55H0hHBDtvgbiQnUAgLuEe7oGRZc3AH3AndK0Dt0+zjntgDcWBy/CuCinHcBwLXbDmJByjdu3ECpVLolFSmVSqHX68XSjVjEgkRZq9Ws2xOtPxI9yYjkQhcrrd9kHJjn6HetIKZWHV3NJNnZbGYEy+uqKz2KopgwS9O06GKmi1+bRfT7/Vi+sOZEq8chm83ixRdfjPWoXltbQxRFlo6lsePZbGZpThS33bx5E8Vi0SxjrptuXOjO5+YAOOjDzU0NBWdaTpXuf7WgqR9gqtpkMkG1WkWtVrOiLtwY1et1TCYTtFqtO/zTDQgAcJefYQEB9wJ3Gsz7MID3LH5+D4Bfl+PvXighvwRA6yixG7qv6/W6PYhHoxH6/b61YlRF77lz54wUab0xLk3rVR/8GrPUhhyaSlQsFq3gh6rHeR1WByPZUphVKpVQKBSsrjcV40kXu8bEvffodrtot9vo9Xrm1idRD4fDWAycXbNKpRJWVlbMsiTpUSGtYi1atLPZDLu7u+j3+9jc3Iy5/Dl/ADYnrhk3EqVSCZVKBdVq1cRkXBMK2LgxKBaLqFQqOHv2LGq1mrnl2UlMY/kcH8MVKgJ0ziGKIrTbbWSzWdRqNfMWqHgtIOA14K4+wwIC7gWOouL+RczFFBsAdgB8L4B/AeCXATwM4AqAr/Pe77v5E/j9AL4SQATgb3nvP3G7QeRyOf/www+bcKnZbFr8l/WmU6mUESEtu9lsZi0ck0U8aKHR7az5ypqLrEIoEgjJgLWtWf6T8VHvvVnOFGpxY8B4Lq35XC5nJKzxa7XatZwoCbBer5sQi1Z7Mu2MJTZV6DUcDlEsFrG+vm7Kbcbc6X1Ip9Not9vodrvI5/NGxiTMSqUC4KCKGi1lttRUV7aGCbju3DzphoNxdG48NNat4jV+3rTyucaPPvooNjc38fTTT+PGjRtoNptBxR1wJNyPZ1hwcQccF0dRcS9FoZJsNutrtdotBJvP500JPJvNsLKygkKhYIIwuq/pNtUYJgmNryXrUZMsSTRKFFqaEoDFq0nYJJlisWgbBVWGl8tlPPbYY9jd3cXNmzdNHKau5WShElWYZ7NZc98Dc6Kkspmu7lqthk6ng16vZ1YvybtcLuOhhx4yl3q73UY6ncbq6iqiKEIURTGLdnd319LGuDb1et2IkhujbrcbK4nKNdPx01XOph8qbKO1rDXLCW4+kqTPz6hUKmFjYwPXr1+H9x6NRiMQdMDSIBB0wHFxFIJeinwVxlFphdLtGkURWq3WLbmybDqhiuZyuYxisWipPEzvUatUC2HoFwlDU6/S6TSq1aq9RjLVpg5MA+LGgIVHRqMRrl69au5nuvBpRdbrdayvr9tmRC1+jqnT6RiZc2PAWDrXgGvFcdDyZdESjolESre6tp9kXjI/A24cNGWLYyyXy2ZN87Oim5xWMzcSJGfOjUI0brY07KDueW6GNATBGPaLL754C7EHBAQEnFYshQWdy+U8CYelHdWi5XEAlp7kFrm6PFfzfrVkJV3ESrzZbNbcriRgQnN0CZImXyfhrK6uolQqGbnThUtyoqWsVjo3CgDQaDRitbc5RiqdSVwq6KpWqwBgXaT4M8+r1Wqo1WqIoshS0NjmcjweW+1xYN5zmgpreiWcc1hZWYl1oaJ6e21tzeLJ5XIZ1WrVVOGa4ub9vFtYu90GgJh1r5sS3lc3USqqU1EaPSlc/9APOmCZECzogOPiKBb0UjTLUMU0H8yMTzL+TFU3Fc0ALC6qsWHN7S0Wi1hdXcWVK1eseQMJmQ/+pDXIY/w5mUtNa1HHBsCsW1qJ6rIlWav1OJvNbtkgUHS2urqKt73tbfj93/99K9QBHDQLUWU170UCp+CKY89kMmg2mxZnZinQVCqFarWKUqmEfr9v8X6mrdGy5nqwS5bG5zkWfgb0XpCQV1ZWTOlOtzebZtDartfrVnDmsHg211G7ZgUEBAS8HrAUFnQ+n/flctmsZ62mBRzEJ7VvMc/TSmLMlSUBkLTUegVgaVtKdKq0VreuFupQF65ae4fFsymQovVOARwtQLXaOVaKuejSBg76LnMDwDFQsT4ajTAcDs0SLRQKWFlZwWAwMKuZbmNVP3ONmG/MsddqNbOYvff2GjcjTHOi6917j/Pnz6Pf76NaraJcLqPb7WJ7e9vG2uv10Gq1YsVPgIN2mrppmU7nfbNplW9sbNjmgN6JyWSCa9euBQs6YGkQLOiA4+LEWNC0JkmEyRgjSVfdy8l8XsaF+WCna5mWHcmA70+n06ZSTrqwNc+YGwMKsThekhTztnWjk8/nsba2hsFggL29vVghEZKlbgb4XhIeXfeEKrB5LYrF6EWg14Cuau/ndbtZCY1pYVqak9fixgCYF0mh257u+GKxaP2Z9YvW8N7eHqrVKlZXV82dXiqV7F60nLmW3HhRvLeysnLLZ9zpdCwPnl4B/SwCAgICTjuW4knHhzKFXyTRQqFgcVIVkbGCVxRF5t4eDofo9XoxYqXKW+PAWuWKLnMg3odaY6QkebXAaX2SKOg+3tjYwPnz53HlyhWzQkm0xWIRvV7PBE8kxWSKGDcBSqa0PDmn4XCITCaDa9eu2Tz4Oq3iYrFo5M11YDtKFYk556yBB+dJcqbLmg04ZrOZxZXZ9YsCvuFwiJ2dHUstA+Yxbo5Ji7Dw3gwvaAEZbjDK5bJtArQCWTabjZVjDQgICDitWAoXdzqd9nzgM6WHREWhF61aCouUyPRBz/NJyDwnk8mgUqmYhQfAiFHLbCYriDEfu1KpmKsZgLm86UJmehWJnBsDjcsqETPliL+TSEn+KoiaTqdYW1vDQw89hJ2dHbsnLVDOk2PiGDY3NzGZTHDz5k3biNAVXiqVTIHO13g/uq8pzFJhHjcJ2lhDNzlMjdPqY9o4hM1EVlZW8Mgjj2A0GlmMnMVpmFamng266LkZC/2gA5YJwcUdcFycmDzoVCrlWWyDYiKOi2SVrETFut0ULgEHLlMtAgIcWKMavyYB0Z2qRLUYk72XGwDeh65oEizJlcRI13WhUMDq6ir6/T76/T4YZ+e5SmwqFmNsmePgfGiZMiQAwARzJNbDqnbRitVccHWNa14470nPAcmYpK0xeXog2LCD985kMjZXzo2KcK2vfeHCBZvL3t4eGo2G3Vtd4fQO0JOSTqexu7sbCDpgaRAIOuC4ODExaODAmk0KtWjtqsWWz+fxRV/0Rbh586a5ROky5TkESUL7PgOwAickXyU4EqKKvrhR0NQnupaZztRsNmPxcSqTs9ks1tfX0el0TDGtjT+m06nFi2lNck24Dt7Py5GqBc+872azGfMKcA04diV5kl8+n49Z3CRjKt21NSQ3JJzvbDazCmqDwQCdTseInilSdMNPp1M8+uij2NnZQSqVwtbWlnlAeC/+vrq6avnadIvTK0IPBT+3gICAgNOOpbGg+fBd/G6vkWhIMCRHWqedTidG7FpGU8kl2buYJTl7vV5MBEbiVVEWACNA3gMAyuWyqbhZoYvW6crKirmINa2LpMj4OuPprN8NADdv3rQNBS1Zkj03CJVKBZVKJWaZ7+3tGTFqm0xeR7+4pkwN47z4firNM5kMzp8/b/FrAJYWRbU6N0lqja+vr9vvzHGnhcwmGrrRYeybVvh4PLYwANedIjgAuHr1arCgA5YGwYIOOC5OlAVN4RKJkVYvCUmLWbCEJV3Xzjmsrq6i1+sZqWYyGbP4eC7JkBYlXbS04EgCtJYJHtdyorQUB4OBueS1UAcAc6N3u91YbFw3ENw8dLtdGzeJD4DFvUmqqixvNBooFos2TlrmHJcWd1Ey1Ng8BV4kSeZmc2PA67daLbNmeU3WzWb3Km6GAFhYYjweI4ois7y99+j1epjNZlhfX495SThOFahpM4/hcBgT6wUEBAScZiwNQSfjppqHrAVEeBxAzGLtdDoADnKmNW+aD3yWoFTrjLWmaaWSLLT/MuOkJHbGQdnIAYBVz2JpT3XV0qJ94xvfiGeffRb9ft/ctsVi0azG4XBoHgFdD+896vW6WbXq9RiPx6Zer9VqmE6nRoBcR61ExjVj964bN27ENincALA0KXs3U7jFdCumRG1ubqJYLMbqec9mM3Q6HVtXkjA3GST+UqmEZrNpym56PDKZDLrdrm2C+BkmBX0BAQEBpxlLQ9DAAQGrO1gFXypmorWlhUg0ZskiGW94wxvwzDPPxFyqWt3Le4/19XUMBgP0+32z9ABYnFVzdJNNM9LpNHq9HgCYwlgLcpDw6/U6Op2OWcO0dllohYVKdFNCNzc3FixoQmuX1nu9Xkc2m8XNmzeNnLUoi25qSMC9Xg/dbtdIETjwYnA9S6WSqd+jKLJ5TiYTrK+vo9frmQt/dXUVwNztn81mcf36dTSbTTufGyn+PJvN0Gw24b1HFEVm+XOO3Gjxd3pB1EMREBAQcJqxNDFokmHSclSXsJIzrUK6pnlMH/D5fN4sVMa3mdJULBYt/srzNW+ZpDYajcziY+oP+1WT6LUmOMExq5tZ84G16hlTjOhe5nW0SQaJlXPkuAGYRc/xUrxFl7WOSy1rje9qnjU3B4zTM4asncEuXryIVqtl76tUKla9rN1u28aDMWdWUcvn89ja2sIXf/EX4/Lly3j22WfR6/VsjHTjq9WvhWE435BmFbBMCDHogOPiRKVZUZgFHJAIgBhpk6ypnGbsU1Oi2FWJRMKfqZrmdbQUKEkegLmRNQ5Lq1ljtyRXrQU+Go3MdUzxGS1DCsG0RSXTkYbDIYC5OIxiKc37ZTW0xx57DP1+3yxlrheJn+5urp9uaqj6ZsEUzpv30g0SY9VUWSfT1Lh+nAN/Z5lQqtB5f6ZW6VrzPfQMaEUzegzo7eBaqKt7e3s7EHTA0iAQdMBxcaJEYpoKpJsGtZb1OGtbJ0t90pIEYMS6urqKvb29GCnr9dVKT6YlqVucsWKSpsaktU1jJpOxRhGNRgMArG44G22wtzNrVE8mk1ieMTcMFHU553D9+nWzejUtSt3GqtDWGLyq0Ul+vBatX86NZK+x5qRHQAk7n89bbJsWL8mX1q9ugjjOXC5n9+Yc2T0rm82iUqmgXC4DADY2NrC3t2cx84CAgIDTjqUhaD7EgYMex8kYtFq53W43ZuHRuqVVyrQkCrJoIdJlzHxkJRXeg4SphJTMj6Z1rNY706mYJkWrsFgsIpfLYTAYoNVqWa/nbDZrTTsIxqd5jPeha56uYm4SKLCi253ESAEaY8RssUmLWufHOtkqgFO1OgmewjYgLuojmQ+HQ8uxZjUxuv618Qk9G6pY1/QsCuVSqRTOnDmDWq2GT33qUxiNRvaZBQQEBJx2LA1BA4iJg9Ty4wNcv0i4SjR0JzNliddUC5LHAFjOr56nDTRozdINS7c584b5HlrmJCK6eEkkvV4PnU4H5XIZuVzO8ojZSlJdt0rMnB+9Bfl8HuVy2TYZ3W7XxgkgVjN8NBqZqEvziXXDw/fScuV4dX6qsJ7NZqhUKubaZ29qirx4TQr02OhCCXg8HmN9fT0mxltZWcH+/r61puT9rl+/jlarZWuTy+Ws5GhAQEDAacfSELRWDzssrYrkrWIo4MBFncyh5nvU+uO5JFKKrVhCk5Ymr0PSrVarZiXSUiZR8xqpVMoKg2jVM242GMvWmHqyQxfd1kwZo4VMItS65CRyTcliL2emNHETo7nhtMb5M4mYpVZJ5kynSqVSKBaLqNVquHr1qsW+KfzSz0Y/S3ottB0nY+2dTse0AsyjVpU8Y9bMoXbOYW1tDWtra5hOp9jY2LjXf44BAQEBDxyp253gnPtp59wN59xn5dj7nHMvO+eeWny9S177Tufc8865Z51zf/moAyE5AQe1oPnQpkiKhKFdqdTtrG5a5jirBczXmUtMly+vy3ivWuxMfarX62bBra+vY2trC5cuXTLS1r7PFJcxVYkbAMax9fokSKaHkSQpmhuPx7h586a9j6Iu7TfNObZaLXPF0xvAufLai8/IXNl0NXNt2OSDaWAsonLlyhWr3c3iJtzocC25CYqiCJ1OxzqMMdygLTtp4Wu+u262uF7lchmbm5uo1Wp2Lcb1AwKOgvv1DAsIuNs4igX9MwDeD+CDieM/7L3/AT3gnHsTgK8H8GYA5wH8hnPuC7z3t1X1aK6sumBV9ATEU6+UILQEp4q8NF1Hr0tQXc0Yrwq0eK/pdIr9/X3bKJRKJQwGA/R6PbNmVWnO4h5KpHTVa61sjlHzuFV1nXTPc+PBGLiuCa/JcbCKmRb34GvqnmesmOuvJDmZTMzqTeZTk4xpmXMcLO5CwR6riyXnwGvyfdq/u1Ao2MbowoULuHjxIra3tzGZTKw6XEDAMfAzuA/PsICAu43bPum897/lnHv0iNf7agC/5L0fAvi8c+55AO8A8Huv9iZ1C2usWEtj6ndalkpiSSGZkjNwkLqlx72fN6CgFUoRFEtYqmUHzNXOZ86cMREYY9hsYkGCYnqUegGAA1LjebS+tWuTljQl6C7O5XJ2H55HVzvnyCYYnCtBcl5ZWUE+nzchlpKlKtjV0gdgoQWObX193fKitU44P0+26CRJp9NpdDodFItFvPWtb8XOzg6efvpp60bG0IJ6MJxz+PznP48XX3zR0tdmsxmuXLlyxD/HgID78wwLCLgXeC2myLc6594N4BMAvt173wDwEICPyzlXF8dugXPuvQDeu/jZLEzGdTUmTag7W64DIG7hkVj1fXq+EmCz2bSSnSRPWrRqIc5mM3S7XURRZNYlAHMJ8z4kdpa55LwuXLiA69evm4saONg00CrkBoHvIZj2lFwDWuY6V61cpmlfLNxCq5g1tikkUwt3PB6jUChYbJhETnc4MI8jawoW85Vns3mN7bNnz2IwGNj6VCoVlEoljEYj/O7v/q5tvlhSVDdmdL9Pp1M8/vjjOHPmDJrNJp5//nm7R0DAXcBde4YFBNwL3DYG/Qr4cQCPA/hCANcB/ODi+GHy2kMT+L33H/Dev80vik2QGEhyrIvNhzzjqVT60uolQWi3KhWb8bu6wkm8mt/MmCnHQRJWyy55XRItNxYaW+52uxYTHo1G+NznPneLGp0bAsa+6Q7OZDI4d+4carUacrncLWIv4IDckyTJ82ntZjIZ1Ot1dLtd7O/vx6qBRVFkwjN+LxaL2NrasvlS6EXLmufR06BpVCTxfr+P7e3t2EaFpVSbzWas4QZ/Zjx88bcBYK4+39nZwac+9Slcvnz5Ftd4QMBrwF1/hgUE3G3ckQXtvd/hz865nwDwLxe/XgVwUU69AODaUa5Ji0otMU0/4kOZJEkLmOdolS+N0aq1TCKnVcx7JUthsqAIXdD80vKaqVQKlUrFakprxTB9H5XdGjdlTJ1jo+hJ63cz3fohbCQAACAASURBVIuucn6n4IzEz7lx/qurqzavvb09U5cD8zrZmk6lYQOSbhRF6Ha7tsY6f7XUVUWvbnCNtSfT1NLpdMySZpMPbhDUhc/PJJ/PW0xf/1YCAl4L7sUzLCDgbuOOCNo5t+W9v7749T8DQHXkhwF8yDn3Q5gLLJ4A8PtHuF7MRa3pR8CB+CiZy6zkq0IoWslK8ACsKQStYgBW0KNWq+Etb3kLPvnJT2IymZgAjNcpl8sWU2Xt6FKphCiKUCqVjDAZg6Y7WK1xjktLZJK8AMRc59wgUDjF99H6LZfLKJfLiKLIrNx2u41GoxHzGHCO4/EYe3t7Np8oiiyNiyleFIslxWfcKOhnoKSuGw79zmIydJkzlYvVzEj8JG9ubrSYiW7UGo1GrIhLQMCd4m4/wwIC7gVu+6Rzzv0igC8DsOGcuwrgewF8mXPuCzF3/VwG8M0A4L1/2jn3ywD+GMAEwLccVf1I9y5za9UyS8adXyk2zdeU2BdziFmfScEZieHatWsxlbHWg6Zrl8crlcotLtlyuWyEpCU4kzFjBeehGwm637XKmJYw5evasIPX1jg8NzaqHlcxHi1tbiKSsebDKqxxI5TcQCXXmh6HpOhNu1RxDhp6YAy9XC7HvCBJz0FAwFFxv55hAQF3G0vRLCOdTvtSqQTnnLljlbAUSgAKVWYnhWC0/EqlErLZLNrttlW7qlQqsZ7FLDpCNzutVVVbA7CUK5KQiqyAg9aNg8EA1WrVSm1qKheJiUTIzlH9ft/mTrKk9U/C9d6buIo5yVEUxVo2Jou50EoF4l4JNtCgiIwbC56nmyOFqtFns3nPbLabjKLIml6k02mUSiVTfDMFDIBpB9SrwbmNRiNbx9lsFlu7RqMRmmUELA1caJYRcEz4k9Qsg1Zn0r2aBEk4meucRDJuTbcuY6n1et2UzbxuqVRCqVRCKpVCt9tFJpOxMp1sOalkRQLJ5XLW/alYLKLf75vbl/cuFotYW1szyzGKImv8wPeS9NkZSyuP0e1LkReJOik8Aw7c/cVi0TYadLfrBofE1+12zZpOlh4laEEzhhxFEZrNZqxuOlOzisWirVcURYiiyLp+cXwcLyustVotE6Hx/vw8GDZghbFgQQcEBLwesBQErfnCSsyMTfN1FS2RtJJucC2ZmVRua+7wdDpFoVAwklFxE8/XtpOqnlYBFFOkOJ58Po92u20kytguY7Ys4kFVOtOMeA0qwlVF7r3H3t5eLNUKiDeyUBe05ltr/Fhj0/qlc9DqazxOhTkwt3j7/b69zhxotYD7/T56vR7a7bYRv1ZtO3PmDLz3uHnzpq0TrX5NuWNjEO+9eQmoeA8ICAg47VgaF/dhVrAWHTmMvBV8sGusVo8zfsxUJJbS5HUnkwnOnj2LyWRiqmrGkekapnCJwqp+v4/NzU2cPXsWzWYTL774YiyHV13LzLUmke7u7sbytTnOZGyX39mAQ2POunEgGetclaAJTQ9LbnhIwpxnskIYNwuqnG+32wBgljAAlEolALCccb0PSZoWulrsHC/jz4xHc6zqldjf3w8u7oClQXBxBxwXJ8bFrcSrYi+N02rqFBAvOELLke9j+pHGoXkNKpdVVa1K6kwmg9XVVSvlyfdqwQ6SBZtTvPzyy7HGE8BBsQ0AsepilUrF5sHOVpwjLWkKp1RIldx0qPcgGW/nd35puhbP01QlJUhuYPSzUFc9x8b0qMOsWc6J91eCZpMOjpsxeI3vM5aumzDVAAQLOiAg4PWApSBoADGC4O98eJNID3NpJ4+RnEluKvYCEOvsRBLIZDJm9THWSYLV8ZRKpZgIqt/vm/Wtyma1sqfTqZXpBGDxZcZTNX2JcWfmI6sAS93w7LlMN7wKv7Tjl4rpVC1OCz+51ryHxoHVc1CtVq3TFd3bPF/XmOI4QjdgScLm/dlFS9OqVPDH815JsBYQEBBw2rAULu5MJuO1peJhqTxKtiRltcZosWk6j1ptxWLRCImvZbNZIyMAMXc2r8niGbRik250HcvFixexs7NjqWKlUgmFQsHyfrX2NmPQtFhJ9Jr+xPmzfaRz8z7PFJORzBg75/xZ4YvFTorFIsrlMobDoRUhSbqVVU3OuDPnx/Py+XzMlc01Yu61HksSsIL35iaDFrSq23lcr8ENQCaTCS7ugKVCcHEHHBcnysWtRKPFMJL5zgQJhUSSVCjT6qO4iGlV2oZyOBzeUvuapMG2jSQPuqg1lk2y5RhefvlluxeJkuStvZjV6qaoi/NTNzlj1t7P88MZyyZpUzRFlznXij2UWdSDHgG+t91ux9Yq6T7mJiGKIvuZmxluIpKdurg54PpyY5NMdUvG2TXFjNfkmLhR4dpwzZKVxQICAgJOI5aCoIH4A5y5sUrQjM8m2xVq4Q1aXCQBWqh0E6u1nMvlYgU+SLj1eh03b9404vV+niKVz+fR6/Vi8W0Adh/nHNbW1gDMG1aQGJvNplmfhUIBvV4vtplQ65IbALq7tRBJ0qJkzDzZdWo2m1nXJ/Z07nQ65q5WVzSJMJnDTeImaTJ0QGjxFlY8o9eAY1PtABD3TlCgVywW8eSTT6Lf7+O3f/u3bVPEz5SfNedNa14t+ICAgIDTiqUhaI2vkqg1BqpWlSqP1RrjAxxAjKzZ7lDTeCjcAmDx4lQqhb29vZhQiilElUoF5XIZg8HACI/3IUmRKFnzmhZos9lEq9UCcECK3DTQymZ6lSrANabLNWKaFo8zfj6dTtHtdpFKpSz+qw1EVBinv5P81fJfW1vDzZs3Y65v3i/pOdBCI+l02jYMJGB2z+JmhMVYGBJ49tlnTWSX9C5wnura5sYqICAg4LRjaQiaD2S14vRBTCJRS1AJl5W6knFMALF4reYDKzlpDBY4qGZFy5txZACWi0sFeD6fty5bfG04HKLf78c6NwG4xfqj0ErnCSBmaSarq5HUh8MhAFj/arWykwIwdXlrIZNOp2MbA2BOgo1Gw6xgIqmqTorCNFTA+zMtS0V7xGQywWc/+1kLNQA49Hpq5dOiDirugICA1wOWgqCTeb98GJNQ+bAG4takkmkyzYk/M27LBhYUXG1ubuLGjRsAYB2nVlZWbEyMt2o6UrFYRKVSwWAwQK1Ww/7+vlmIs9kMURSZS11FWCp00oIktFqT8XOOm/nA0+kU1WoVKysr6Pf7GI1G6HQ6dh+60dWlrKlnXMe1tTU0Gg0TqCXV1TyX4+Fmg59BMuRQLBYxGAwsRq9lUrl+dJXzvePxGM1m85bUK46FGy3Og+9lIRRumgICAgJOO5aCoIEDC7lUKsV6PdMKAw7SbHguyY6WVbLYSTqdxurqqlnYtGZnsxkajYZVymKvYlbuqtVq2NnZwWQywerqKqbTKfr9vp1TKBSws7Nj3Zq0ipf33kRMFHG1Wq1YZTHGdElYJFYlzNFohN3dXQBzq7bdbqPT6eCd73wnms0mnn76aau7rQp3dUerJ2E0GqHdbqPb7R6atqTKaU3F0hg1FeH63kKhYL27dQ7Jsp6ct3oUNATB/GoKxrgx0fszRzzEoAMCAl4PWIo0q3Q67dnOkaUkgVu7USXj0FrgQl3aLABCQmE8WUVWjDuTLJ1zqFarFufl/SjsYmUrEhfTnUiyVIkXCoVb3PMq1FJiIqFyU8KYOD0GfF3d/vzO+G+S8Piaurn5M5t2dLvd2GaFcV1Ns6IKWwVoACxdjePrdDp2XyXopNeD7+v1erHPg+51bfzBe6pHgHPk+EKzjIBlQkizCjguTkyaFTAnkU6nA+DWvFl1Z6uKl1XBaJkxTkqCTaXmzR3oAqYIyjmHXq+Hcrls93Zu3m+YhMX304WrBVOYC0zLlbFdWshaHYwbCVVOc04kpHa7HSNkWpvJYiOcvx5Lxtt5X7riKXKbTqfmFufclAR5jKTO96qojvehC1vnqWOid4NiL+ecFV4pl8uo1WpmIdO6V7e2FkzR9C9eK1jQAQEBrwcsDUEnSQc4ECYlv/PcTCZjgim6oFVENpvN0Gq1YpYc3bJMEyIZJN+nTRx4nHFQtTop5qIyme8hiWiuNkVUaglrYw+SoZbC1Fg2r3VYbji9CxR/VSoVyyvWnGteQ0Vk2kCDY+cmh+dwDL1eL6Zg142TKrXX1tbQ7XYxHA6tY5duAugxuXz5MgDEcrn1moRukEIMOiAg4PWApSBoPvyTMVWNKWvMmURCK47EoGIjfqcrulAoxJTctNDG43Gs1zItTACxLk4kNJKd5mzT5c1+ypqr7L3H7u6uWfqMs587dw7j8RhXr16NWaBJoRuV4qpi5/x0Q8E1YoERJVJ9LWnRcw66KdJ0KvVecM25gWD8WF3jvE8qlcLKygp6vR6899ja2sL6+jp6vR6azaaJxVZXV9HtdlGpVDCbHfTkpvubAjznnKWvUX0eEBAQcJqxNDFouolpYalFTctNXbm01KrVKrw/6PVMyzXpniWhJu9Bi1FTttRSpyW9GKe1jyR5MS4NHCihS6USisWi3ZuWJGPVSvCMTSfjuCqIA+LKdq6B5kPzi7F1VbWrG1w3Arwur6GEXCgUbO4UeaVSKdMH6Lj4GdF6Z+yfcW7mSLOaGT9XknKtVkOr1bJc8X6/b2I05nQXCgWUSiUMBgN0u13cuHEjxKADlgYhBh1wXJyoGDStrmKxaGlTJAc+6EmqJKtcLmc9g9WaVIGUXhs4qGildarz+TwqlYqlL7FutbqXuSHQylnD4dCKhFCUxmtrJTIARkzJTk9AvKIXr6GpWuqC1gIqavnquqiQTtXWrAxGqOXLXG4ANk9uUNRdXy6Xze3PjQcta55XLpdRLBZNna3duNTjEUURMpkMdnZ27DPgeDiWSqWCTCaDjY0NS+OqVquWIhcQEBBwWnFbgnbOXQTwQQDnAMwAfMB7/yPOuTUA/xTAowAuA/jr3vuGm5t3PwLgXQAiAN/gvf/kbe5hlqyW8yRRM2aqLR/L5XLMMlRLFzgoCELSovsZiNe8brfb8N7j5s2bMeLQ8wBYDFqvnU6nUSgUTCimdag17YmWMt+j5Mz5a3yVudsUi/X7fSMuFZCR0AHECoFQIMY14+YhmffsvUelUsHKyoqJ25jbzfVU4Zpa39wcVCoVnDt3DvV6Hbu7u2g2m5jNZuj3++h0OmaNM3WKnwGV4vRGUM3N4ywMw78B9s9m+dSAgKPgfjy/AgLuFVK3PwUTAN/uvX8jgC8B8C3OuTcB+A4AH/XePwHgo4vfAeCrADyx+HovgB8/ykA0f5aVuJS4klYmLUsVh6kLVx/2vGY+n4+VqtS0JFUzJy1cEhzbTZKANQ2Ice5cLodz586ZRcoqZIybq2CMTTQ4f83vTqVS6PV6VvyEOduciwq92K2K4ysUClhbW8PKygrq9ToKhQK2trZQq9XMQldLnV2uWCdcCZrWd6lUsrzuarWKWq2GfD5viuz9/X2rQa4ufMaOz5w5Y16EWq0WE7Fxw1MsFhFFkbWzBGAx+E6nYylY3CgFBBwB9+X5FRBwL3DsGLRz7tcBvH/x9WXe++vOuS0AH/Pe/xnn3D9Z/PyLi/Of5XmvdM1MJuMrlUqszjYQ7161uNYr/kyLkuSuUEuTaT2qtNYe0ocpqdVtns/nreIYCY75y+pip5WnqmvdGPB3kvFwODSy05g3LWcSOcdaLpdtc3Lp0qXYfbSYB4m2Xq+b63g4HGJvbw+rq6tGetVq1dzqrVbL3M8cZ6FQQK1WM9EWCZTtNMfjMSqVCi5duoRPf/rT6Pf7eOihhyx/vFwuW7MREuxkMrHcd35mjKFzHvQo0LvC4y+88EKIQQccG/fi+bU4L8SgA46Fux6Dds49CuCLAPw7AGf5R7v4Iz+zOO0hAC/J264ujsX+wJ1z78V8h4pUKmUuYro1kwVIkgItWncUNfHBr92mkvFbPuj5Hp5Dy47EqXnUi7Ha7+PxGLu7u6jX67H2iyQ3xk4Zm2bKFjcUtVrNRFHMfx6NRqjVakaSqdS8aQdJi1Yj3cUk9mKxiPX1dXQ6Hct3JpmzcQYV5hR38fosRMKYOVtQsjiJVhJbW1tDPp/H1taWqc4fe+wxPPnkk9jf38fv/M7vYH9/H91uF88995xtiLa3t22D02w2UalUbEyZTAYrKytot9uxRiODwQCFQsG+NNTBtQhpVgF3grv5/Fpcz55hAQH3AkcmaOdcBcA/B/Bt3vu2WrDJUw85dsvu0nv/AQAfAIBsNutJPO12OyZkcpIrzHKSJEptmpGMsS7uYWSszTF4Xc0JTjbP4Pt5f1b64us3btywTUOpVAIAIx6Kms6cOYNOp4Nnn33WrHbtxkRCJ0lqjFVV4Kurq+bqVZEYNybab/rRRx/FtWvXLM2Km550Om3VvIADr0K3242VTKXFzl7ZjMlfvHgR3W4XzWYT2WwWzzzzDJ566imcO3cOq6urmM3mtci5GaAKm14FagC02UW32wVwINzz3mNlZcU2CRSqLf5GYiGOgIDj4G4/v4D4MyxY0AH3AkciaOdcFvM/7l/w3v/q4vCOc25LXESU1V4FcFHefgHAtVe7Pq3I2WxmD2tVGJN4eVytKLqlKTjiPx5TpUiyajEnCUlJW93Q+h7dBFBBnslkUK/XjXBIvt57XLt2DVeuXAEwJ2K2Xuz3+7EYOXAg2CIJJbtVvfGNb0SlUsEnPvEJO386nVraEd/vvcef/Mmf4ObNmzEFNwmtVCqZ4IwqbFrdjJeT8DmnfD6PKIrwqU99yt7Hc3O5HN761rfiJ3/yJ/H2t7/d5r++vo4zZ86g0Wig1+uh2+0il8uZUj7Z9rJSqWB/fx/T6RS9Xi9WjY2eAn7+/FxeeOGFo/zpBgTc8+dXQMC9wlFU3A7ATwF4xnv/Q/LShwG8B8D3L77/uhz/VufcLwF4EkDrdvEbEvFsNrP82aQYjA/mxZiMNEnK+tDXGCcf9nSTU/EN4BXTjrS0paxDrHQnCYqvFYtFtNtty9cmwTHG2u124b1HvV5HsVhEs9lEoVBAtVrFaDSyOWcyGfR6PROcOefwmc98xrwIJGJa9K1WK+bGT+ZKA7C13dvbi21GUqkUoiiyBiC8vxZ00VrfWn2N6/ybv/mbeOKJJ2zTxGvu7+/b+7ip2tvbs3ACLWmmYTGOz+tq3L3ZbJpFDcCakQQE3A734/kVEHCvcBQL+ksB/FcAPuOce2px7Lsw/8P+ZefcNwK4AuDrFq/9P5inKDyPeZrC3zrKQGjxMi5JFTd7HZM8SbpsiEErU61kVVhr/JfnATACoBXNMfA1dXerNc1rUDFNFzItWa3CBcCIlDnMVC8Dc9UyY8TAQfMIWrAk6F6vZ6lQmt7Eblp8L4lVY/O0tpnrrIp37W8NxOuEax66ivc4Jt6X69Dtdm0TAsDSvJKxeQAxFbbmc3MDwDlw3UnUAMx6Dwg4Iu7L8ysg4F5gKSqJZbNZT2U0c4rVYlayIfi6pmPRgiORcm50RXc6nZilB8AaZmgclKpkJW4SSDqdxtbWFhqNhlnOJEHek4TEohr9ft/StB5++GE8/vjj+MhHPoLRaIRCoRDrOc17MWeYZFUul1Gv12ONNdjcg5sUdcnrZkLTnvheLV1KLwMLkdDVrQI9kjJTvbjOq6urVsIziiI0Gg147y3mzHWjOrvT6SCfzxv5a0EWbpgYw2ZBGLXsuVaXL18OKu6ApUGIQQccF0dRcS8FQWcyGV8sFk2QlcvlYu5PuqJpVXHM6obmQ57xYZIcr8VCGtq/GThoTUlSIqGRxPk620iqNcn7837awlFbRGpsmnOsVqtYXV2NddRKpVJ4/vnnkU6nzdLlNRiLzefzmE6n1h+aMe3bIZvN4sKFCzh79iwAYGdnJ0bYdKlfv37d7qkbI64nq3nRio+iCIVCAWfPnkWv17Nc6PF4bEVgdBOkn6GKvaiK58ZmMpmY5cyUL4rNxuMxnnvuuUDQAUuDQNABx8WJIuharRZza5LYVLilbma1alXhDRwov2nx5vN55HI5K8TBBz8rlmnVLBWbFYtFUxUrmTGFCbi1ZzVJnGRGtzTnQ4Kl5covjonKZuCgtCnV4t1uNyamo0tcx6KlNOkBYLctWut077OgSavVsgpgXHMtUqIiOK3ixXO1JWcmk8Hjjz+Ovb09I9Z+vx9z83MdK5UKzp8/j0ajAQCxfGiGDTQXm5/vQiQWCDpgaRAIOuC4OFEEzRzgpFip1+vF4rocr1q72nu43+8jl8vh4sW5EJMuUzarUIubpJLMk+Y1OR4qxbV8aDLeyw3DmTNn0Gw20Wg0YoItXp+ERxU4y5ZqBbXJZIJarYZ2u22Eu7W1hU6ng1KphOFwiM997nP2GgVkdP+qBZ9Op1Gr1QAcxH5ns5nljJfLZSNtpnvRY8B5aoevRqMRK9PJz4nCLbr+vfeoVqux19gTulAomCXMmDvP0drqnU7HrGmuJTczwcUdsEwIBB1wXByFoJeiWQbJQXNdc7kcWq1WLFbJKlZaVWo6nWI4HJqYi9cYDAao1+sAYESvXao0Npt0WfM6dLM7KWZCgiAZFgoFRFFkpDYYDNDv92NtJ4F5gZIzZ+a1EIbDoeULsw0lXfnqUuZY6DIejUao1+twzmF9fR3b29uxdCzONZkaptfTeDfnn+wNTcufhJ7JZKy/M9eeFjzjzGwuoqlQ0+nUypCy5GmlUkG1WsVkMsHGxgb29vZiHgwAtuFgW0nVIqjaOyAgIOA0Yyks6Fwu58+ePWsWHHBQRpMPfq3YNRwOYyUzad1RjZwUi9GVTasym83GrGfgIJ+aFh6Lj9ACZvvFfr+PUqlkpMovtcy1AMpkMkG5XMab3/xmNBoN7O/vx2LVFJnRtZ3JZFAqlVAqlYyMNLWK82avZA0JqFWvv1OspkIxrku1WsV0OkWn07Ge1nQtM36/sbGBjY0NNBoNNBoN+yxSqRQefvhhXL161WLmJG/tYAUAa2trsRAEME9Bq1Qq2N7ejlUuoyeEGzK67plmNR6PQ7vJgKVCsKADjosT4+LO5/P+TW96E7a3twEcpEypa1ut33w+j1KpFOtARQJWa5FWuVazKhQKaDabFotmXBRArIcyc5TX1tawu7tr8VFVaPO+hULB1NRa7UzJWoVnfC+tUHoDnHNYW1uz9CsA5vbWeWl1sMFgYJsa9QJwDMB8I1Cv17GxsYF2u21jpEeAc+cmgPeicA+Auear1SoGg4GVF+V8aJlXKhUbI0uh0iIn4bOxSD6fj7WsBOabrCiK0O12zZ3P0ICu91NPPRUIOmBpEAg64Lg4MS5u5iuT/Gh9shjIeDxGvV5Hq9UylyxbSGqnKG1VmXTzFgoFs8q0e5VaoJpSNB6Psbe3h8FgYNZ0FEVIpVKx1pV0u5Jwae3qxoHuYlrA2t+a1jzHTKJnRS3OX136JH0tK9rv942o1U3OOc1mM7TbbURRFCtSwr7N3W7XvAQUnjGlqlAooNvtmnCLc2C6FO+l+crs79zpdCxtjhsPhiC89+j1eiiVSib029nZQTabxcbGBnK5HHZ2dmJq/vF4bK07AwICAk4zlsKCTqfTnuUcSSp09QKIWcbOOXP9kgBJtHw/rWISMWPEmp7F95PAGVteXV3FYDCwzYAqrKMoirnV1Y1Ot2yy2hnV2iTfZGyalj5/zmQyqFQqZvnzfaurq/jyL/9y/NEf/RGGwyGGwyHa7TbW1tbw0EMP4fLly7h27Vosx1lTvfL5PDY2NmyTQGLlmLQfdzabRafTMTGb9/Oe1Fp2NZvN4tKlSxgOh1bSk2ucXGeNLU+n01gYI/kZJlPpuL4UtZVKJXS7XXQ6nWBBBywNggUdcFycGBd3KpXyTNnRFCnggAgBmBp5OBxa/i8tRJaO5LkUHtFKZY4tLWZNTaKKmESkMVxa6nQ1swiHWs50Das1rMImJXGtI857qDiOFitJeW1tDalUCs1mM5ZqRHEY1el0e3PO+Xwe2WwWvV7PipzQAqUnQfO6aelT1d3r9YzM2VObHan4GTBkQCX3aDQy1zdwUJGNHgNdF/0cVLCnr2WzWavDrdXkFt6AQNABS4NA0AHHxYlxcQMw5TbBhzetKyqk6SpWAZRahIwPq+iILlS6pbUUJ+9NkuJxTalStzjJmEQJzOOmjNG2Wi0jpqSlnhSvJcVdwNw1vL6+juvXr2M8Hlttby0WonOhuEwtepIlz6WojqVR2faRfaP5Pm4QVFTHsIOmoSWrtT322GO4du2arW2yZKduoPR9unHhenGDxs9U4+vacjQgICDgtGMpCJrkCBx0rCIpAYjlMKtLmC5YrXfN95LYJ5OJWXWqtFbrkURGy5jkRMLSa6rFRzJhW8Rer2exYaZoUQSmKnIgXqlL14GK7s3NTZs7rfyNjQ1zY2ezWQyHQ6ysrFgqkgrSuCkoFAqWE95qteC9R6vVslrZ7AvN9dvd3bXxAXNx2Pr6usXlmULGtXj00Uexu7trnxutYM1Np9iMqW7JIi/c+HC98/k8zp49i3PnzmF7e9veRys/n89jb2/vHvwlBgQEBCwPlsbFTZKjMIqtGXmsXC4jiiJ7D8mIJTaTcd2kK5txbb5Xr0GXOq02dZfXajWz4ug2J8nU63XLDSZB6jhIzhQ45XI59Pt9i/VSRc33cRx838rKinkV6D5mqhEAE2xxw0JxFzcglUrF3OVRFMWKfdAKz2azqNfrGAwG1jFKCZglPVnFjDFp3ldznhnLZmlWxtuZx01LXq1ouuL5u1rTLJbS6XTM9c8Ny7Vr14KLO2BpEFzcAcfFiYlBp9Npn6xXrXFJTZtKuou11SLPAxB7L6ECLW4EKCijhUbCIBlTxMR7cBwkHLrT1a2b/KJIK1kQRJXkVK/zXkxDokWejMGS7GmpqjBL3dVKpiRS9UKUSiWz9jX2e1i6VjJ1i+tLNflkMkGr1bL7kuyZbkUPAteYY9GQAFXmxWIRuVzO6nlzPPycG41GIOiApUEg6IDj4sTEoA9zhsVYWgAAIABJREFUHx9GOJcuXcJ0OrXUm3w+b25brbxF93XShawKcbZf1NgoyYldlDgGXqvX6xmRkTwZ7+UYH3nkEVy5csUsRY6LyvNMJhObZ7IYi4rTqBpnTjIJTZtJ5PN5ayPJOTIti6VANU6vpEjrXAuEkCjVFa1WL+fAuuIUz+lrvG+r1Yp5RTT/W4V+/BvgWlMRT1U8/z7oeQjtJgMCAl4PWAqCBuIpT/ydedCMDbO+NV3TJDDNOU4qgQFYJa1SqWQpV9oLWgmJnaSSVjldwwAsV1hTmmjV0oLUmt4kFJInLW4tmUlw3KzmpSlaJHktdpLP563GNUlU3dy85sMPP4wbN27YNdi9iiIybQhCERbzvtPpNMrlMlKplAnuWKoUgI2Ta6fhArrBuWnSVp6cq/ajVtFcUrinn0VAQEDAacdSuLg1Bl2pVEyNPZvNrC8wLUyN37LCllp+KvRKFiApl8vIZDLmNqV1t7GxgeFwaIpoFYrR+mu322a1FotFKwzCKlfs31wqlYz4JpMJut1ubLPA6wOwzcdoNDIi0z7UalWS9BnLppVKt3rSDc05pFIpbGxsoFgsYn9/3wif4+KmoVarYTQaxYqdaLW02WyGWq1mGw/WJudYKYxj56pCoWBNQDKZDPb399FqtTAcDq2fND8D3ezwd27YVDSo+d0hDzpgmRBc3AHHxYmKQdfrdbPktM0iY6kkJa3xnIw58/thVnWxWDRXrMZSk7nRGrNWK5pj0vaJAMwS5/kqdtP+xyro4v04DpIbU58Yc9Y5cR6lUskaUHS7XbOeWaaUcV+S4Gw2M6JUsVq73Y7VJmf5T46LpUQ5PiVMbqTY7IMWNV3nvPdgMDBLm5uJZFoZvRp0/SdJn+lh/By4Ds1mMxB0wNIgEHTAcXGiCJrEppYmSVMrWCXzaEme6k5lfJrnFwoFy1OeTqdWj1pFX7wfNwZsiEHiY6ETzddVIuG9SM5UIFMdrffTPGgKpDTNiMSkFiVzsfl+EhpTpVQ8xiIkvI4q41WhzrgwrWYA6Pf7ZjmXSiUr6Umy55iYlw7MSdY5h2q1iv39fSsLyvXiZoXHNJyhaWF0t2t7S4YHdD6z2SxY0AFLhUDQAcfFUQg6dbsTnHMXnXO/6Zx7xjn3tHPuv18cf59z7mXn3FOLr3fJe77TOfe8c+5Z59xfPspgSZIy+JiVq65qteim03l7RKqqaYHWajXUajVLNer3++h2u7GuS8BBpyutkz0ej9Fut9Futy0Hm1Y4K2cBMEIl2XFco9HI3s+5cew8j9a6WtLOOZsDrVgSPF3TKtwCgGq1igsXLlg/5aR6nfem0ltJny5tzj/ZypHejCiK7Pp0wzNMQILv9XrY3t5Gs9mM5XvrOifbSvJzI/FTvKdqdW4muDnhGgYEHAX36/kVEHAvcBSR2ATAt3vvP+mcqwL4Q+fcRxav/bD3/gf0ZOfcmwB8PYA3AzgP4Decc1/gvZ/iCNCUKk3jYUoTQZetqotpcZNMeN5wODTBEx/8JFbgYAOglrBWrFI1tgqx1IU9Ho8tPYmWnqq3GbdWF7zGeHkfegu4KdDf+To3KyT9ZrNpTT240djc3LR+yhsbG2g2m7hx44YJ1DTPmfMBDtpuapGWTCZjOehacCVZjpXWejqdNiuanyVj11p3PL1ox8kNAj0V+jegcefkNQICjoD7+vwKCLibuC1Be++vA7i++LnjnHsGwEOv8pavBvBL3vshgM87554H8A4Av3eb+5hgSnOIWSebcVlV9vIBr2SlpOO9R7fbxWAwiFllSq4kYl6X1+LrmhIFHBQ5IYERJF7+zPOVrKvVaqyb1HQ6RbFYRLFYxGAwiKVKJfO7aUVyXiT5vb09FAqFW1KZGItm3e1Go2EWKV3N4/EYxWLRrFPvPaIosprnnK+qxlWYl8vlsL29bT8TtLx5D342tNw1/5vrmdx08LhuAriZWYawTMDJwP16fgUE3AscK83KOfcogC8C8O8AfCmAb3XOvRvAJzDfpTYw/+P/uLztKl79HwIAzMrizyomOnv2LNrtNhqNhhFnsi50NptFFEX2XS1YkpnmFDOHmAInLfvJylraa5kWPIlZm01oHjHJhQSjvaNpTWv8tVgs4qGHHsLVq1djfZp5L24ctEgLNy4kKnUNMz2LhAwAOzs7Zt3yGH+mZ4Hdv5xz2N/fj9XNVjc8NzFcg9lsZqlVqdS89Gev14uldFHkRdV60oVNK1rj43Tpa/U4rkuoxR1wJ7iXz6+AgHuB28agCedcBcA/B/Bt3vs2gB8H8DiAL8R8h/qDPPWQt99i8jjn3uuc+4Rz7hMkGlVfk9TG4zE+//nPY29vzx746vbU2LGmY0VRFGv/qFYn461UP5OImBvMFCK+r9/vW4y72+2acInuYKqwOV4AMTKn6IxjVnKdzWZ47rnn0Gw2Y1YlNygkRHZ14hy04AjHpmlmVHRraU5ueJh7zXj4dDpFv9+3mDsLkGj+cTJWHkURWq1WLHQwnU7xwgsvYHd31+apXg2OQZXr9IRQ/c30ucFgYJsi3pehCw11BAQcBXf7+bW4pj3D7sGQAwKOZkE757KY/3H/gvf+VwHAe78jr/8EgH+5+PUqgIvy9gsAriWv6b3/AIAPAHMVN4lZ47wkYgqJ1IKjy3txrVinKh4DYPFmVXrziw99Xpv5xrQ+WU5TY820vAGYBa9krr/z/rVaDaurq/YzhWe5XA7VatXmp2K46XSKra0trK+vI5/P44//+I/NlUxPA2PztGh5X6ZSURS3+IwwGo3MLU83t3oX+H7dZOhxTVNjkw2OldZvtVqNVSmjoIxlVLkm6tLWL42xc43ZdpKbllBJLOA4uBfPr8U17Bnmgoo74B7gtmlWbv6k/FkA+977b5PjW4v4Dpxzfw/Ak977r3fOvRnAhzCP25wH8FEAT7yayCKdTvuVlRUjYBKiulNpkaVSKbPagAMSSRazOMxyzmQyqFQqFgsmwfK99XrdBFF8vdPpmKVHQuc4eX0SVVIMpeRGqNua1qE2leBGg3NdWVnBxsYGAGB7e9uU4ZrrzOpkmmqmmxnel2tZKBTQ6/VsQ6DCL42d69iVyPV3Wrfez+uHr66uWhEUVW1TgLf4vK2qGFX3GovWddIvfuaz2QytViukWQXcFvfj+bW4RiDogGPB3408aOfcOwH8NoDPAGCS8ncB+BuYu4c8gMsAvln+4L8bwN/GXEH5bd77f3Wbe3QAPHu7wZ5QbADYfdCDuEd4kHN7xHu/+YDuHXBCcD+eX4v3hGfYycSDmtuRnl9LUahkEYc+ldZQmFtAwOnHaf5fCHN7cAhqm4CAgICAgCVEIOiAgICAgIAlxLIQ9Ace9ADuIcLcAgJOP07z/0KY2wPCUsSgAwICAgICAuJYFgs6ICAgICAgQPDACdo595Vu3jXmeefcdzzo8RwXzrmfds7dcM59Vo6tOec+4pz708X31cVx55z70cVcP+2c+3MPbuS3h3vlTkCnYn4BAa8V4fm1vDgNz68HStDOuTSA/wPAVwF4E4C/4ebdZE4SfgbAVyaOfQeAj3rvn8C80AH/cb8KwBOLr/diXm5wmcFOQG8E8CUAvmXx+ZyW+QUE3DHC82vp/79P/PPrQVvQ7wDwvPf+Be/9CMAvYd5N5sTAe/9bAPYTh78a8+pFWHz/Gjn+QT/HxwHUnXNb92ekx4f3/rr3/pOLnzsA2AnoVMwvIOA1Ijy/lvj/+zQ8vx40QT8E4CX5/bR0jjnLqkSL72cWx0/sfF28E9Cpm19AwB3gtP69n7r/75P6/HrQBH3kzjGnBCdyvu7WTkCveOohx5Z+fgEBd4jX29/7iZzvSX5+PWiCPnLnmBOGHbpGFt9vLI6fuPm6QzoB4RTNLyDgNeC0/r2fmv/vk/78etAE/QcAnnDOXXLO5QB8PYAPP+AxHQrn3Hc5537yiKfvAPj1xc/vkZ8/DODdC7XglwBo0dXyKvf1zrk33NGgXyOccw7ATwF4xnv/Q/LShzGfF/Aa5xcQcIJxYp5fx0QRwPsXP9/x/7dz7tHF8+tIbY3vNk7F8yvZ0u9+fwF4F4DnAHwOwHffp3t+A+bdbSIA25ir9ep3eK1fxLzh+xjzHdg3AljHXB34p4vva4tzHeaqz88t7v+2I1zfA3jDK7z2MQDfdA/X6Z2L+38awFOLr3fdzfmFr/B1kr8e0PPrMoARgI3E8acW/6+PHuNahz2//i3mgqrX9P8N4NHFeDKvMo+/eA/X6cQ/v153lcScc98O4O9jvnP6KOYigB8DsAngS/1cjZl8T8Z7P7mvAz24t8e8H+3zh7z2MQA/770/qmUfEBBwwuGcuwxgCOD93vt/tDj2FgC/AuALAFzy3l9+Ddf/GO7Cc2UhzPo8gOxhz8/FPL7Je/8br+U+pxkP2sV9X+GcqwH4PgB/13v/r73348Uf8l8H8AiAv7k4733OuV9xzv28c64N4BsWx35ervVu59yLzrk959z/6Jy77Jz7i/L+n1/8TDfPe5xzV5xzu27eb5bXeYdz7vecc03n3HXn3PsX7rLjzu3LnHNXnXN/380LD1x3zn2Nc+5dzrnnnHP7zrnvOup9nXNf4eYFGFrOuR9zzv0b59w3yet/280LADScc/+vc+6R4445ICDgjvFzAN4tv78HwAf1BOfcX3HOfco513bOveSce5+8Vlg83/YWz4A/cM6dTd7EObfl5kU7/ofF7yvOuZ9aPDNeds79z26eDw7nXNo59wOLZ9wLAP7KUSfjnPsG59zvOOd+eDGeF5xzf35x/KXFM+09cv4rzm3x+qs9n1POue9wzn1u8fovO+fWjjrW+4nXFUED+PMACgB+VQ9677sA/hWAvySHvxrzHWkdwC/o+W6e7P5jAP5LAFsAVnB7Of47AfwZAH8BwPc45964OD4F8Pcwbxz+Hyxe/2+POS/iHObzewjA9wD4Ccw3HV8M4D9c3Pex293XObeB+dy/E3N30LOYrx0Wr38N5k3v/xrmnoffxtxVFhAQcH/wcQA159wbFwT5nwP4+cQ5PcxJvI45Wf6dxf8uMCf0FcxFUesA/hsAfX3zwgL+N5hb6j+wOPyzmBcAeQPmaUtfAYAb9/8awF9dHH8bgK895pyexNwdvQ7gQ5jnlb99ca+/CeD9bq7IftW5HeH5/N9hnvv8HwM4D6CBuWt76fB6I+gNALuv4K6+vnid+D3v/b/w3s+89/3EuV8L4P/y3v/bhUv8e3B7Of73ee/73vs/AvBHAN4KAN77P/Tef9x7P1lY8/8E8z+cO8EYwP/ivR9j/se9AeBHvPcd7/3TAJ4G8O8f4b7vAvC09/5XF2v1o5jH6olvBvAPvffPLF7/XwF8YbCiAwLuK2hF/yUAfwLgZX3Re/8x7/1nFs+wT2O+ieb/+BhzInyD9366eB5oCtKbMNe4fK/3/gMAsLCwvwrzdKWe9/4GgB/GXBwHzD2R/7v3/iXv/T6Af3jM+Xzee/9/eu+nAP4p5puH/8l7P/Te/3+Yx93fcIS53e75/M2Y6wWueu+HAN4H4GvdAxKzvRqWbkD3GLsANtzhMeWtxevES3hlnNfXvfeRc27vNvdWgosAVADAOfcFAH4I8x1nCfPP5A9vc61Xwt7ijxs42A3vyOv9I943OT/vnLsq13kEwI84535QjjnMd6kv3uHYAwICjoefA/BbAC4h4d4GAOfckwC+H8CfBZADkAfwz+S9FwH8knOujrn1/d2LzT0wtz6fx9yTRjwCIAvgunOWMpzCwbMi9tzA8Z8FyWcVvPev9Px6tbnd7vn8CIBfc87N5NgUwFkkNjkPGq83C/r3MBdX/DU96JwrY74z/KgcfjWL+DrmOXJ8fxHz3eid4Mcx3/0+4b2vYe46Pixh/m7j1e6bnJ/T3zH/4/9m731dvore+9+9D+MOCAgA4L1/EXMR1ruQCNst8CHMU4cueu9XAPxjLP7HF/qb7/Pevwnz8NVfRTym/T7MDZYPMcaM+f/9EHP1OP/va977Ny9ev454HvHDd2Gar4RXnBtu/3x+CcBXJZ5fBe/9UpEz8DojaO99C3OR2D9y8y402UWc5Z9hnmLwc0e81K8A+E8XIobc4pp3SqpVAG0AXefcvwfg79zhde7mff9vAG9ZiMwyAL4F8/g28Y8BfKdz7s2ACUe+7j6NOyAg4ADfCOA/8d73DnmtCmDfez9wzr0DwH/BF5xzX+6ce8uCfNuYu7yn8t4xgK8DUAbwc/8/e28W41h6XgmeS16Sd+O+xsKMyMilclFVuVQq7Q8SZMM9wjS8ADbcPQ+eATx6GPTM02C632bQQAM9Rs9DwwPMjB8M9xgYy8bAPbYsyJIlW1vBVaWqUqkyVVm5xsYIMriT95K8XC7vPDDPl2RZVlWqMlWRpXuAhLIiI8hLMnS//zvfOedTFCXkLzzB3wDwvymKkrgvtjqnKAqp5T8H8D8oirKpLDZEPc7tXv/ka8O735//TwD/jiM5RVHyiqKcygz1X6gCDQC+7/8+Ft3if8DiF/NlLE5UX7g/j3gvj/FjAP89FnPeKgAbizSa9/Tz78D/iMUvl42FqOvPfobH+FnwTz6v7/tNLP7P+fsAWljMo17F/dfn+/5/BvC/YkGP9QFcx4KBCBAgwM8Rvu/f9X3/1X/in/87AP9WURQbiznsny/9WwmLQtbHwvP8HbxDZHZ/fvubWGRV/5GiKCEsuuwogLewEFf9v1iMB4HFfeTrWGhsXsdP7uofFf7J1/Ye7s//EYvu+xv3f/4lLARqpw6/cD7ox4H7ysIuFnTx7gd9PY8a9/+PWQHwX/m+//cf9PUECBAgwHvFk3x//oXroB8VFEX554qiGPfn1/8Bi+SZvQ/2qh4dFEX5VUVRUoqixPBgPv3SB3xZAQIECPCu+LDcnx9bgb4/472pKModRVEe5yzig8KvYRGkfozFgu/f8T9cdMSnsIi8awL45wB+/SfYzQIE+FDiF+D+9WHHh+L+/Fgo7vvCg1tY+PMqWITK/wvf99965E8WIECAAI8Qwf0rwGnB4+qgPw7gju/79+4LDb6MxYkmQIAAAU47gvtXgFOBxxVUsoFVw3oF71DJKYryJQBfAoBQKPS8pmmYz+dQVRWRSASz2Qzz+Ry+7yMSiWA6nfLnoCgK5vM5PM+D53lQFEV+TlGU5W0mAIDZbIZQKIT5fI5QKIR3sga+7yMUCkFRFHiet3yNUBQFs9mDTBPP8zCfzxEOhxGJROTnl//M53P5Wf6JRCKIRqMYjUZQFAXRaBShUAiDwQCqqsL3fXieh1BocWbicxCxWAzz+Ry6rmM2m2E8Hst7wtcTCoUQCoUQDocxnU7levj6Y7HYymvnezGfz+VxFEVBKBSS1xwOhxGNRjGZTBAOh+X7ea3RaBSe5yEajcp7zX9f/n5em+d5K9fA72HwAT8Lfg7v/H5+jq7rNn3fz7/zFy9AgEeAd71/Aav3MCzidAMEeM/wff9drbmPq0D/pCdeqYr34+P+EABSqZR/+fJluK6LaDSK+XwuN/VYLIbpdIrZbAZVVaGqKkzTxGAwwHw+RzQalULGQt7r9ZBOp5HJZNBsNtHpdFYuJBqNSgFicVJVVQrrYDDAbDZDLBaTAqEoCnq9HsbjMcLhMEzTlGKUSCQAQAqmqqpwXRfT6RSKoqBcLqNUKqHb7cJxHBiGAdd1AQDxeByFQgFbW1uoVCqoVquIRCIoFAowDAM3btzAdDpFNpvFbDbDZDJBIpHAYDDAyckJwuEwVFWF53mYTqcIhULQNA26rq8UUdM0MRqNUKvV4Ps+YrEYFEWBbdsAgEQigWQyiUgkgkgkguFwiMlkgslkgsFggHw+D9/30e/3oSgKptMp5vM5zp07J8V1NBphOBzKQSuRSCAajaLX68F1Xfm5SCSC+XyO8Xgs77nv+4hGo8hms9B1HZ1OB+PxGN1uVz77XC6HSCSCyWSCb33rW0FiWYDHhXe9fwGr9zBlsXUuQIBHisdVoCtYTZTZxGJY/xMxmUwwm80wHA6hqqoUGcuykM1mcefOHQyHQyQSCYRCIRwfHyMej0tHyJv+cDjExsYGSqUShsMh+v0++v0+VFVFOBzGaDTCZDKBqqpIJpOYz+eYTqdwHAe2bcOyLFiWBUVRMBqNpDMsl8vY399HMpmU4juZTDAej7GzswPf91c6Wtd1EYlEoOs6fN+HaZrodDpotVpyOOj3+8jlctA0DbZt49VXX8VwOESz2UQ6ncZ4PMZkMoHneVBVFe12G63WIq2u1WphOByi0WhI4eZhgF2zYRiYTqfo9/vY2NhAPp+HaZoIhUJoNpvIZDLwfR+DwQC+7yORSMhhqFqtQtM05HI5WJaFfr+P6XS6UrTj8TjG4zH29/exvr4uRXc6naJcLmM6nUoXHA6Hkcvl4DgOptMpRqOF1iwWi8FxHEQiEXS7XQyHQ/k5Hr6y2Syi0Shs20a9Xsd8Psf58+cfyy9tgAD38VD3rwABHhcel0hMxUJk8QUssk1/AOBf3jeQ/yPouu6fO3cO+XxeutZQKCQ3fdu2EQqFMJlM4LouQqEQdF2Hpmno9XpQVVUo4/l8jt3dXXz6059GrVbD/v4+QqEQDMOAaZqIxWIIh8MYDAaYTCYwTROmaWI8HmM0Gknnzg7XdV3M53NomobJZAJFURCLxTCZTGDbNvL5PD7+8Y+j3+/j4OAAruui1WphZ2cHlmUhFAqhUqlgPB5L1wosqGDS5NFoVF5rv9/HeDyGYRhyYAmHw0Jtd7tdABA2odVqSbcPAI7jwLIWC18mk4l0s+xoHccRunkwGEgnbFkWDMPA1tYWzp8/j4ODAzQaDRkfuK6LWCyGdruNyWSCnZ0dXLp0CX/3d3+Hc+fO4eDgAIPBQA5Wh4eH6HQ6OHv2LD7xiU+g0+lAVVWMRiPYto3pdCpdNQ8vqqoinU6j1+vh0qVLyOVyaDQacF1XPg9VVZHJZPCNb3zjNd/3P/bIf3kD/MLjYe9f938m6KADPBQ+MIrb9/2Zoij/CotUmTCAP3qXX24oioJmsymF1jAMhMNheJ4HXdehKArG4zFms5l0wtPpVDpeTdMwHA7RbrcRi8Vw/fp1eJ6HWCyG8XiMfn+xqEVVVWxsbKDT6aDb7SKTySCVSqHf7yMej2MwGKDdbsvcloV5NptJp7o8q51Op7h37x7i8TiKxcU61c3NTfT7fTiOIxQ6O2fHcaDruhReznd5CNjY2MBgMIDjOELnx+Nx2LYtzw9Aiv9sNhPKOhwOS9ddLpdxcnIC13VlDtxsNrG+vg4AMgvngcTzPKGz79y5I91vJBJBLBYTev38+fOwbRt7e3uo1WqYz+c4OjpCqVSCbdtoNpvodrvQNA2apsF1Xdy+fVuu6fj4GBsbG/A8D67rot/vw/M8tFotZDIZjEYjxGIxKfQnJyeIxWKIRqNot9vSpQcI8LjwsPevAAEeF05FkpimaX65XMb29jbq9TqGwyFCoRDG47F0g5z9RiIROI6Ds2fPShc4Go2E4mZRHg6HGI/HME0Tqro4h8RiMZimKTPjyWQCACtCqul0ivF4jEajgeFwiGg0ikxmscub9KuqqlJ8WMQpkup2u5jP50in0zBNEycnJxiPxyvPyeLMg4WiKAiHw7BtWw4mLNqcIRuGIUV/Op3i937v9/Dd734Xt2/fxmg0gqZpCIfD0vGTjjYMQ67RdV15bw3DEAp5MBgIxX/x4kXs7+8jEonAdV0MBgNEo1Gh3RuNBhzHQSwWE5EZv3c0GiEajSIajQrTQDYkFArBsiykUilhK0ajkczqPc+DZVlCeZ8/fx6pVAq9Xg+j0QiVSgW9Xk8Yjx//+MdBBx3g1CDooAM8LN5LB30qCrSu636xWIRt24jH41AUBYlEAoZhoNPpwPM8aJom3x+NRqHrOq5evYo333xTult2j4qiyPw6kUjg8PAQ8/kcOzs7GI/HODw8RDQaFaqaHTG7tuFwKMWj3W7DMAxMJhOk02lEIhH0+31Uq1Wk02mkUinU63UAC6EVVd+RSEQo9+l0Cl3XEY/H0W634XkeTNOEoijytUgkgmQyuSLsarfbGA6HmM1mSKVSK6I1sgn5fB71el0EV8CDQ0Cr1cJ8Pkcul8OZM2dwcHAgRTSZTELXdZimCcdxhP4nisWiUOCj0QitVgvdbldEYul0GpqmCWVOVoCCMHb+wGJMQEEdlfYU2m1vb+Pg4ACO40hHnclkZAZNaJomAjrf93Hz5s2gQAc4NQgKdICHxRNToA3D8M+dOyfdmOM40r2qqgrLshCNRqUrDIVC0hWT3uVMmB10LBZDsVgUOlTXdREhkR5fFkLZto3hcAjTNBGNRtHpdOC6rqiI2Z2qqop8fuHuaTabQjuzYPG6lztWXqvneVhbW8NsNlvpZufzOQzDkEPJaDTC4eGhdK2maaJYLCIWi6HT6cj7oGka4vE4kskkGo0GbNuGpmlIJpPo9/tIJBJyeGHX3mw24bqu2JuGwyGSySQ2Nxfb2QqFAlKpFADg61//OiKRCDzPQ7fbFfU5PxeOI4AHynVS7tQNUJXPOXq/35fXaxgGZrMZNE1DJBLBYDCQbjsSieDo6AiGYUDTNCn+/Hx/9KMfBQU6wKlBUKADPCyemAIdj8f9Z555Bp7nodfrwXEc+L6PVCqFVColimoqmw3DAPDAc3vfFwvDMGBZlii8FUWBYRjodrtQVVUKeb/fR61Ww3A4RCqVQqlUgqZpMqd+6qmn4HkeZrMZbt26hcFgIF2vpmliZ+I1GIYBXddlNs5Z6TLF63ke0um0dIm0h/V6PViWhVwuh3Q6jcPDQ3kttE4pigJd1xEKhbCxsYH19XVUq1XUajWxRc1mM9i2Ler0+XwurEI+n0cqlYLjOJjNZkgkEmi32+j3+zIr5nNxBNDr9WDbNmKxmLyu2WwmBZevkf51ep85KuBnwzn6O33j9HUvH1SpRt3DAAAgAElEQVR4kFlfX0cikUC324Vt2ysHnGg0irW1NfzlX/5lUKADnBoEBTrAw+KD9EE/FChQMgwDa2truH37tlDa3W53Rc3LmfDTTz+NV199VQon56Dz+RyO46DX660UH1qI6Km2LAul0mLF8XA4FGuU7/t47bXXpMPOZDK4cuUKNjc38f3vf19oWs6H2+02VFWVIA8AQvmyKHHmats2+v2+zIQvX76Me/fuiWDq5OQE6+vrqNfrGI1G0HVditrGxga63a5QyLRebW9vy+w9Ho8jHA5jPp/jzJkzaLVaokzn66ZYLZVKyeydQSqknlloS6WSCNuWBXKe50l3Pp1OkclkcHh4KAWUFDg92nyuer0OwzBWCjOvl0wCZ++0ckUiEYTDYfFXm6YpdrMAAQIE+DDjVBRoAJKAxZAOUtmhUAiNRkMEXaRCX3755RWa27IseJ6HRqOBVCoFwzCgKIrc2Dmb5nNRmcyCQ1CQ1W634bqudO6vvfaaFFsASCaT6PV6IsJiB8qCRDtULBZDMpkU2piMBSlbFkh25CcnJ9B1XdTnvPb9/X3pRDkfpzJbVVUp0vl8Hq7r4s6dO4jFYkL7M6iEBx0WafqiZ7MZstksUqmUPJ5lWRiPxzJXT6fTEmxCy5mu63BdF+l0GgDkedhJLwe/ABC7FFPi+B6SmVBVVcJmOG+nTYwCPh5aAgQIEODDjFNBcRuG4X/mM58RypcUN4VWiqJgY2ND5sij0UgEQyy0qqquxEVSGazrOgqFgsxRW60WOp0OIpEIcrmcJFnxpk+rFeemnU5HFMh8XIqwWHQo2qL1aTgcAoCovUkDK4oCx3FE4BWLxRCJRGSem81mUa1WJXiF3Ww6nRYrEqn62WyGVqsFRVFgmqYUM6rDScePx2NhEyzLgqZpMgOnr5ziMmAhxuI8nVGqjCONxWIyQmDACVkHzroZOkKBGsEOuVgswjRNDIdDOVSoqgrbtoUqX06SsywLsVgMhUIBvu9LkMtXvvKVgOIOcGoQUNwBHhZPDMXNzrler2M6naLdbgOAFBXOgAuFghQnz/Oko2VsJDsxx3Ek9Wt3dxe1Wg2WZUnB5CzYtm2k02lks1kAi3lyp9NBOp3GuXPn4Loubt26hX6/L3YgRk7S7hSPx0XoxDQxXdcBPChKw+EQhmGIPYkJY/wZ+pSr1Sps25YglXA4LLNaxoxSSMV4z8lkAsuypHOdTCZ49tlnpRDzENBut7G7u4tKpSJz6FAoBNu2sbGxAdM0JRSm0WhIYfQ8T1LcGFXa6XRQKpVknECxWDgcRqlUgud5IgBjcMtwOEQulxOPN18bVfQ8LCwr1nu9HprNJizLEstXKpXCycnJB/a7GiBAgAA/L5yKAq0oCur1unRRXCrBeElN0+D7PrrdrtzIp9OpFG7gQXAHlc0AYNs2UqmUdNjAg8UZm5ubyGQycF0XL7zwAmq1Gm7cuCHz6Lt376JQKIj9iMpiKpRJPdODTS9yIpEQ4RZzo1utFlzXhaZp8lxHR0dCF+fzeTSbTdTrdaiqKgpnFmt2ztFoVNK96DOmFSkSiSAej6NWq+HVV1/FhQsXZK7O3PBlRTe71HQ6jYsXL0onzVjSeDwuHm1az0zTxMWLFyVCFACy2Sxc10W9XsdsNsP+/r4cAHK5HCaTCWKxGLLZrBzCOOs2DAOXLl3C4eGhUPUAJDlsPp/jIx/5CJLJJKLRKHZ3d9HpdGCa5s/19zNAgAABPgicGor7ueeek/kkKeJUKiVhINFoFI7jwHEcAJCiwU5aVVUMBgOYpilzVIq1OLOlhSoUCuHw8JDPLZ3vspc6nU6jVCqJInn5uUajEcLhMDKZjHTdLJick7Iz3tnZged5ODk5kXkqZ7q5XE6KLufDuVwOn/jEJzCZTNDr9VCr1dDtdlcodlVVcfXqVelMKf4aj8ci8GImN68ZgHi5uWxjOBziU5/6FIbDIW7evAnHcXDhwgUAQLValSJMYRnHC6FQCKZpYmtrS3zh7XZbmAF+jpyrl0ol8VIv0/qRSERU2uyaOS7o9XqYTqfI5XKSGc7DSygUwle/+tWA4g5wahBQ3AEeFk8MxU3VLpXItAglEgnoui7zW9u2hQ6mvYnK4uUOmQWCM1LSzJyRskDQLsXnpLCLCyFarZZkYLObXC6y7XZbqGgK2ph4xi61Xq9D13XJvOasmOljFHABwNraGizLwpUrV/DWW28JvUuxFwNauJ5yMBig0WhI6Eqn05GEsOW1j+xYE4kEMpkMisUiXNdFpVIRf3IkEhFRGGfZtLMxYY3iO2Zoz2YzDAYDSX/r9XpIJpPyb/yc6H2mMt91XdnqRQZgPB6vdPH0Vdu2jUgkIu9XNBrFYDD4uf5+BggQIMAHgVPTQT/77LMiAovFYuIXBiBCK9p9WECAB10axWS2bQsFbFkWCoWChJXQy7ssTCLlS79yIpGAbdtiZaLo6p1+bKaPOY4jxYPRl4VCAdVqVQ4N4XBY5s0Ul5G+TiQSEtzBVC/arpg2xgMBRWvs+CmeO3PmjPiao9EoarUacrkcms0mAEhKWa1Ww8bGhsyyGVjCAwqwSENbW1tDs9nE4eGhKKg5a+aBhSIxFvVlcdfW1hY+97nP4a/+6q8wHo9FVMYO/uDgAIqi4IUXXgAAZDIZVCoVGVksbyPjAazRaMAwDGE2/vRP/zTooAOcGgQddICHxRMTVGIYhn/lypWVAmsYhiRiKYqCZDIpeda0CtGKRUsSAzBUVUW/319Rcy9ncHPGySJPtTQtVJubm/A8T2bNFGWxy18WatEmFQ6HUSgUcP78ecTjcRwcHEhX2Gw2ZWMU7WJUduu6LkI4WqLYIQOQfwcWyWVUeTPNa1klrus6xuOxbMdi5na328XBwQHC4TAsyxI/eCaTQTKZBPDAu83kMIbGsMsnA2FZlowMKERrNBowTVMOLaTW+Zmx66WnneC8/9y5c7AsC71eT97jdrsN0zSRTCZFSEYWwvd9fPe73w0KdIBTg6BAB3hYPDEUN2lmLkrg1zRNg2maQuVytSTjNJnGtbwVarlwMKGKym2qqkllA5Cuz/d9nJyciAeb8Z7AA2+vZVlSCBngYRgGcrkcwuEwGo0Grl+/LnPdw8NDmTWTNuf1kgK2bRu9Xk/m7IqiSJIYXzvzul3XRTKZlOSw5evTdR3tdltodkVR0Gq1JGebXTwLYLfbRblcXll/SS+367qwLAvFYhHhcBg3btyQZLZerwcA2NnZQa1Ww3g8lujT4XCIbDaLnZ0dOI4j9P9ytCdnzCz6pmnixo0bwmTQHqYoCjKZjAjfjo+PZXNZgAABAvwi4FR00KZp+h/5yEcQjUali2SkJLAQi2WzWezu7q5kNauqKvQqxVwARK1M2xWFZufOnUOj0cDx8bHMqbkLmh5fUtEMImGWNjtDds5ck8g9ystQVVXCVSaTCaLRKFzXRSqVQi6XE6HX1tYWUqkUXnnlFfEFcybLosbOcTabyS5mXdfFKhYKhbC1tSWHCgqvmGlOippCLs7gdV1HqVSCaZro9Xoi3uL7GwqFRHG9HDKytbUl/26apoS5UERH2ns6nYoljnQ6Y0i5ApMBLcvz5/l8jlqtJjGvBL3WtLi9+OKLQQcd4NQg6KADPCyeGIo7Ho/7v/RLvyTFjEVkMBiIv5l0KJdmmKYpvuhOp4NWqyUWKtLeVFYrioLJZLJSBNlhA5BlHKSMadNiMAYAeRxS5oZhyA5m3/dlvzJn0dFoFIlEQqxXtm0jl8vB8zy8/fbbqFarYinjtWQyGelw2UXyNem6Ds/z0O/3JU+c1iqKr6hc5wyej88/pKOX13hSQU1avdfroVKpAAByuZw8bzwel21ew+FQvMhUyXNez2sDFrNl6gXm8zn6/b7MkskW8LWSjudBZDwei0CQwTC0zHU6nWCbVYBThaBAB3hYPDEUt+/7iMfjsms4lUqJOIpiKACi6mbABmeiXJ/Y6/Xg+z5KpRIymQym0ynq9boUDdKonB2TTmfHreu6FAkWX4rS+H0MJ5lMJhgMBtB1Hbquy6pIWo3oFZ7P58jn8+j1erh58+bKCkrOevn6WMw5P2d6V6vVkqxszrG3t7fFO/zO/GzmbzOCtFaroVwuS3gLKX5eB+nufD6PRqMhqncA8jqo3uasn9dHYRfXdTKBbT6f4+joCK7rIpFIiD+cnT/HEYwFXR5XpFIpFItF+X3gZ8WtVqT2AwQIEODDjFNRoFmImYhVKBTQbDYxGAwk5YsCMoqVYrEYyuUyqtWqCKs4n65Wq+h2uytBHqFQCMlkcmWXMpOyBoOB0L7Mm2YRYwAK56nAQg2+trYme6LPnDmD2WyGk5MTZDIZ3L17V7r9yWSCw8NDbG1tCdWtaRouXLiAW7duSffpeR6Oj4/le1RVxYULFyQb3LZtrK+v4969ewAg9DopY/qdG40GPM+D4ziSnqYoCqrVqqjMefhZVpm7rovj42NMJhN5z6kWj0ajslmKQrter4ePfexj2N/fl+dkuAxtZYxQpQ6g3+8LO8E1msv2M440Wq0Wms2mfCZ8Pevr6/LZBQgQIMCHHaeC4uYMOhQKIZ1OSwfKGSUTxVRVXQnDoOqX81rmV5MaVhQF8XhcQk2Ojo7EtkN1caVSgaZpyOfzIv4ilvcbL+9jZlgKLV7sxNnJ8ucikYjMp03TRDabxXg8hqZpsvSCtO9ywWRXGY/HV8I5AIjSnB0z/53eYlLs3BmdyWTEnsXH5TKO5ahN0smxWAymacr7wuAViswSiYR8NpPJBEdHR0KXc+YPQNTquq5LMpzneUilUhJ4whk6DxrHx8fSrZNW5ypPbsHiAerrX/96QHEHODUIKO4AD4vHTnErirIHwAbgAZj5vv8xRVEyAP4MwDaAPQC/7ft+510eR2xMnU5HChUzrJnzTFq42+1KJ0q6dDweY319XURey8Wd4iNGhrIY27YtSmbOgdvtthSc5dCTVquFTCYjiV4URDFylHPij370oxJJSYHUeDyW9K7RaCTf73keOp2OzLFt28bZs2fFAsb918PhEN1uF1tbW9ja2oKiKCL6ItVP9TfwIAhkMBjg4OBAKHGK4FgwHceROT1n3Y1GA7u7uwAgs2EeOqge5wGj0+nI/Jpd8GQygaZpYvmaTCYYjUbyWXM3Nx8/Ho/LZ7G5uSkiPB4ouI3szJkz8pyMSA0Q4P3iUd3DAgR4HHhfHfT9X+6P+b7fXPra7wNo+77/7xVF+TcA0r7v/+uf9jjpdNr/5Cc/iYODA1QqFZTLZQCQPc66ruPy5cviX759+7ZQ2BsbG9LdbWxsYHd3VwoKsNoFs4PLZrOo1WqIRCLY3t5GrVZDNpvF2bNn8cMf/hChUAhvv/02otGorLHkvHtjYwPFYhGvvPIKbNtGPp9HNpsVinoymaxsl6L627IszGYzZDIZAECn08F8PkcymcS1a9cwn8+Ry+Vkps7kLhazbDaLQqGAN998U9Th9H8z3MUwDJycnGA4HIq32Pd9WT5C6pyiMcdx5H1a3iCWyWRkQQgFb8DiwHTlyhWhxEOhEM6cOYMf/OAHwnDwOfn5AQ+2fbEb5ox8c3MT6XR6ZX0mxYCWZaFarUpKG9PFKHb727/926CDDvC+8ajuYUEHHeBh8UGJxH4NwOfu//0/Afg2gJ/6yz2bzTAej1fWP1I4xK5sb28P8Xgc2WwWGxsbcBwHuq7LDbzX6+Ho6EhEXlRVA5CujjnaR0dH4r3e2trCaDRCs9kUX28sFsPOzo7QyXw8dpQUPrHA7e/vA3iQGMZ1kcyPLhaLEvxRKBSEMaAIigIwx3EwmUyQSCSwubmJg4MDaJqGzc1NPPvss6JwZiDLeDwWKpqiNVrEOC9ut9toNpvIZDLCKFApzvQ0Xg9tZDxcAFjxSfNz4axZ0zTUajVZZkHK/amnnoKu6/je974ngjGyApqmSTEHIAeXTqcj1+S6LsrlMur1OuLxuDwv6fO1tbVH9ssaIMBPwEPfwwIEeBx4vx30LoAOAB/A/+X7/h8qitL1fT+19D0d3/fTP+1xLMvyt7e3cf78eUSjURwcHMgSBRZvALJQgUWU6V8sDFxWQcEU40Gn06kIvDzPw+bmJsbjsVDl9Ngyf5oUN2M8KXpiNw7gH82qh8Mh1tfXpVNfW1tDIpHA0dGRLNMAHuSDJ5NJuTaqvW3bhqZpWFtbQyaTEeHVcrQpA04Yv0mVM4sXhVYsbMBChNdsNiWZi/7x8XgsAi4u7aAGgB21pmkoFAoYj8eoVqsycuB7w455OaFsOp3iwoULyGaz2Nvbw2AwkNe5bG1bVnRnMhlsb29jPB7j3r17Qm1Pp1MJWuFnOplM8Dd/8zdBBx3gfeNR3cOCDjrAw+Ln0UF/xvf9Y0VRCgD+VlGUt9/rDyqK8iUAXwIgGc+Hh4fI5/NCgQIQ5TEDLShYWp77coZKYVa/3xdLzmc/+1n8wR/8AX73d38X4/EYrVYLR0dHMudcXiVJNTS7SAq3UqkUut2uFBcAIs5i3CgXXvR6PWSzWXQ6HdmuRUX48my53W5D0zSJNo1EIiiXy/LcXJRBWxnnuUwjSyQSiMViABb092w2k/kuldI8RDiOg0wmIwwFfdy2bYv4qtvtilXKdV0UCgXZs/3GG28gm83KewVAgkgsy0KlUkE6nUYmk8Hu7q7EhR4dHUnW98nJycoSjW63K1vBmIt+7do1AA/2gFMcyI6bXmqK9AIEeAR4JPewAAEeBx6ZiltRlP8FgAPgvwXwOd/3q4qirAH4tu/7T/20nzUMw7969erKvuLpdIpCoSBiJoqsGJbBGaxhGHAcB91udyWoRNM0GIYhFqj9/X0RKy0nY7HjBiAeW1qF8vm8bMxiUhfnsVRz08rEn3NdF2tra/j0pz+N3d1d3L59W1ZNkvom1WsYhtDQ9AVz7k2BHL3Xy17saDSKtbU1lEolVCoV8VZ3OgsdS7FYRLPZlOUcpJOpeOd7xNecSqVQq9Wk6B8eHkpC2XA4hOM4Ylnb2toSoVY2m8VkMpFd0Mse70gkglQqJcs0bNuWrhuAjDIMw0C9XpfDBulwKrl9319R6qfTaXQ6HbzxxhtBBx3gkeL93MOCDjrAw+KxJokpimICCPm+b9//+98C+LcAvgCgtSSwyPi+/z/9tMdKpVL+7/zO7+DWrVuyHIO7mePxOHzfX/E/09tLdTYV4BRYcRPS/cdGOp0W6pXrKpdzrVlAGo0G8vk84vE4tre3cenSJVy/fl2U1AznIN3rOM5KSAifjweNcDiMdDqNbrcrW6q4tIOrGNlFDwYDfOELX0C73ZYCyfchn8+LralQKCAajWJvb0+yyfk6mCe+vP0rFAqJcC2VSgkzoWmajAmOjo7QbrdlpzQ7aUaERqNRmKaJS5cuyWKQ/f39FX/z4eGhiPA4497e3pZUs8FgIM/N7rnVagGAdOuz2UyYCHqwmXMOPGBaRqMRvv/97wcFOsD7wqO8hwUFOsDD4nEX6B0A//n+f6oA/h/f9/+doihZAH8O4AyAAwC/5ft++6c9Vjwe959//nm0Wi3p7NjV0qvLYhyLxZBKpTCdTtHr9WSBAufIy3Q3Vb9ULzMKU9d1ZDIZlEolNBoNEX6dnJzIJiV6elOplMxkGQcajUbR7/dx586dldhMRVFw5swZtFotUSUzI5xUPSneZDKJtbU1sUkxRevzn/88vvOd78jcmd22bduo1WrymPQOa5omaV48nAALqj2fz0unblkW2u02dnZ2kEgkUK/XUa/XMZ/PZRbOXHN6t5fn/9lsFk8//TTm8zlarZb8LGfF6+vrCIfDaLVa0v3zcbnVKpvNotFooNPpyCpJwzBkJSXZCU3T5NDBGTWvh/T222+/HRToAO8Lj/IeFhToAA+LJyaLO5lM+r/5m7+J69evi+2HBZmhG6VSCaVSCfV6Xbo6iqCoFA6FQkilUpI8xQ60Vqthc3NTQjbYPTLUBABs20az2UQikZCCwAK5rH6mRWk6nWJ/fx++74utigcEZkeTqifVTHU1fd0AVpZapFIp6Lq+UpAoiKN6eln8BQDtdhvxeFzmtQDkEEFWoVwu49lnn8WLL74o/w4ABwcHKJfLsniEhxRS3bquy3tDMR49y5VKBaVSSQrmb/3Wb2E6neJ73/uehJIwpGSZ9RgMBit+cCbEnT9/HplMBsViEZVKRZZvcPZ8eHiIYrEos+mXX345KNABTg2CAh3gYfHEFGhd1/0zZ85I10p6t9vtinXomWeeweXLl2X3cDQaRa1Ww+HhIcLhsCRQmaaJyWSCSCQi3TM3QNHOtL6+DmBRoJY3OQGQQsIC8cILL6DX66FarUoH3G63pQiyk7dte2XzFAChlU3T/EdrEre3t9Hv93FwcCBU9/L6SlK+9BBzaxYTwhKJBFzXRb/flxhSJqGx4DKtLBQKIZFIwDAMUbszSpXdPVc98mBBnzSXVgwGA7TbbRQKBSSTyZXlIbVaTaJaeZhhHnqj0cBwOFzZd00Wg9fLFZ5Ue3MPdzgcxvr6unixNU1Dp9OB7/v4zne+ExToAKcGQYEO8LB4YpZlhEIhPPPMM3j77bclypEiolKphGazKV7jRCIhO4hDoZAUMy5jiEajaLVakiBWKpWkuxwMBgCw0qGx0LAglMtlHBwcwDRNRCIRHB4eCsVMipxdNL3DiUQClmXBsix0u13pvKnOHg6HSCQSKxR8pVKRgsy1kuyca7Ua8vm8WJ64uYrFmYWb4jJ2qLlcDoPBQB6HtHe9XpdULiqv6c2mdWwymci8mAlf8XhcDj+0RXFe3+v1sL6+LocFzuL5+fA6GM0KAOl0Guvr6xiNRrL6khnfkUhEVorSUz2bzWQez9fHzylAgAABPuw4NR10NptFMpmUFYS+72NzcxPlcllWG0ajUVlhuLe3B2Ax96VPlvGf3W5Xih5nvMuPzYzsvb09oVhp7WGn1mq1hGI1DAP9fl+KNos/iwjpdlLSy7ucaQeLx+PwPA+5XE46X1VVkc1m5e+6riMej6Ner6+sWyS97Loutre3MZ/P0W630Wg0pPvnzJ452dlsFrZtS+xnLpdDv9+XmTqjUBVFwWg0QjabXdnNnM/n8alPfQr1el2Wf7Dw8n/D4TCuXr0qwjJGmwKQTp3536lUamXfNCl7ADh79izq9bp87hTwHRwcyDyc1w4sPN5f+9rXgg46wKlB0EEHeFg8MRR3NBr1S6WS0Ln5fB7r6+soFouYTqfiU67ValJMdF2X9ZKRSEQ2WFG1DDwINiF9y8xrFmrSuLVaTahd/jtXJ0YiEayvr8NxHNTr9ZVUK3aNtGox65oBKrquS5AIF3fM53OMRiOYpinPxYCVdDot8/PhcCg/zzQy0umz2UxYBgDy/BSEUYAViURkNs+OniseL168CGBR+JYT06bTqbxfFG0x4YyLOCjWKxQKiEQisG1b8tA5f2bsJ8V6lmUhFosJc6HrOhRFwXg8ls+JFPhoNBIvPMcVfC1cOfqVr3wlKNABTg2CAh3gYfHEUNzAohNm98pIzna7jX6/j3K5LIWO3SdDRlhYqfRmkeL3MgULgFisaJeix5qWIhbS5WUZvu/jxo0bUnhnsxl6vR6KxeIK1cqixb3T/X5fRF2maaJer0NVVWxsbGA6nUp06GQykY6cKuhGowFN0+Q1nD17FplMRjp0xoPSrsUCSUEVAAkAoRqc7wkZAaarLedl80ACQEJRWODj8biwBzyA7O7uSsFcTljzfV+ebzgcytpIUtfsqnmIYZfP94SfA1PLIpEICoWC2L6CdZMBAgT4RcCpKNDhcFjUvqZpStqV67qynrBWq0k3ya651WphPB7L7JlFwTRNGIaBWCwG13VF1AVgRVHMWStnqfTnApBMbXbptGqFw2F5XP692+1iOp2i2Wwin88jFovh+eefl2hLxosmk0nxU1Nxvru7K8Wy1WoJpcvVlsvhHKZpIp1Oi5I5HA7LHJuWJBZovhf0T7P7BRajAvrHechQVVVS2HhAYXGmP3owGMiSDBbler0OACtFlZYuztczmYzMmnmA0nUd6+vrqFQqGAwGK2pv0zTFY87X0Wg0pLs/DaxPgAABAjxunAqKW9d1f2dnR1TcTPha7swoZqLASVEUVCoVuVknk0nE43G5mTOCczkxi39yuZzMWhlgQkUy86nH47HQ1uw0WeRIMVNdzQKoqupKSAhTs1hMVVVFIpFYWeF4cnKyYveiz7vX60mRYvpYuVyW5DIu9yATwEMKlequ6yKdTqPX66Hf70tSF4NMGFrCccDya6ManXN2zvYLhQIqlYocfqhe5/rLRCKBVCol1rhkMgnLsoSiNgxDvO7LM3NeN1dMJpNJFItF0RDwe8PhsKSnvfjiiwHFHeDUIKC4AzwsnhiKW1EUbG1tyZKMZDKJTCaDcDiMZrOJdrst6xg1TUO1WpXiQWX1yckJ2u22dOC0a8XjcenQCoUCTNPE/v6+3PiXM7+Xl24UCoWVcBGKv1h84vE4ksmkzEWX59yZTAaKouDo6AjHx8cAIEWcHf/zzz+PmzdvCqXL2e5oNMJ4PBZqmpummFDGlLM7d+5I1768U5nLPxhTCkDyv5cjNJkFHo1GpaMHFgcE+pOj0aj4wClMY3c9Go1gWRay2awkfgGLJRiO48A0TeRyOQluabfbopan0n05iCSdTq8Et/R6PckdBxYdeqlUgq7rwoYECBAgwIcZp+JO5/s+Go2GdI5MxOLMNxKJyDII13UlRIMzV86YSdP6vi8iJBbgdDqNra0tKTYvv/yyqJ9p6UqlUtjc3JSCwmjJ6XQqj8+gEwqZlq0/LF5HR0fi6WXxrlQqKBQK0qHu7+9Lp0uq3TAMsZM988wzaDabMvMl9f6jH/0Ir7zyinT9iURC9inzcMLFGp1OB5PJBM1mE7lcDs899xzu3bsH27alQC6r0jlbpmiNli5VVfH5z38e9+7dE2RFLlEAACAASURBVFV6NBoVqxg3Wnmeh263C8uy0Ol00Ol0ZERw8eJFTCYT9Ho9CaO5evUqbt68CQCo1+sIh8NIpVLo9/vii85kMtB1HePxGHfu3JGAmQABAgT4sONUUNyWZfkf//jHZY3hcqjHZDJZsThxBsl0Ltd1ZR4cj8cltpMULmetpICBxaKL4XAos1jXdaULTSQSGA6Hoh4HIAldVHMPh0O4ritBH/QWM+AknU7Lv/EPZ7ecqc7nc6HHWXA4L2agCDdGsShxNzaV0rRs8XVxUQVf9/LzJJNJ7OzsYD6f4+TkBHt7e1IoAUiuNm1X8/lc6GoechgLSnai0+kIpc/sbABysCqVSvL6TdOUPO5+vy87rTkaoOo8m82i1WrJQSadTkui2b1792QH+GuvvRZQ3AFODQKKO8DD4omhuCeTCQaDgSi42Y2l02mhZNmJaZqG4XAoxYwzVG64ojCJ3890MQqc2NFevHgRg8FAlmr0ej1ZA0laGYDsOqbPmsWXyy8oWDMMA9lsFqPRCEdHR1I4k8kkXNdFp9NBPB4XtTgPEgzycF13hVZm5xyLxVAsFuG6LiqVCp599llcuXIFP/jBD1Cr1WSFpu/7EnMKQAon57ae58niD6rXGQBC8BDBAw3fSzIEpmnKfJ4COBZl13XFCsX4U1LnPFzQo87Xz6zueDyOTCaD0WiEw8NDWWCSy+XwK7/yK/je976HbreLra0tNJtN2doVIECAAB9mnIoO2jAM/xOf+AQSiYRQ3Iy2rNVqUrhJ3XKLUygUkm4MeCAkS6fTMu89PDxEuVyWYI7lP9wsBSzESrRTkXpmcWN3yQ6QVqF0Oi1Z1LR6RaNRdLtd6XrZzbJzJr2cy+VEuMUYzlKphL/4i78QvzRV2bPZDNvb21BVFY7jrGzwGg6HKBQKMoNm4tna2po8P5PIFEXB5uYmDMNApVJBpVJZOWRwu1UqlZIs7/F4DNM05TNgDGgikcA3vvENYTKYrlYul1GtVmWHMzvyTCaDWq0mM/zRaCThLMsZ54VCAR/5yEdw8+ZNKf5U74fDYfGB37lzJ+igA5waBB10gIfFExNUQoqbc08Ktbh6cDKZSJdIypQbrFhsJ5OJeKWZ7MXXVigUUCwW0el0xI9LpXc0GpV0LdLlqqpifX1dFOGxWAzj8VjmtozGXF7dyM1OnNkmk0mZkbfbbSSTSWSzWVSrVekYuUuZRY5BKmQPOp2OhIcAkMflQo9+v49wOCzXs0yhs5CnUikUi0WEQiHcvXtXOniyEUwp43s4mUyQyWQQj8cBQOjp9fV11Go1iRxVVRWZTAau6+L69evI5/OSQ85umocRXddRKBQQDodxfHy80r2zMPPner2eiNtM04TruvJ+bG5uYm9vD47jBNusApwqBAU6wMPiiSnQmqb5zz//vBQlFhvuXuZKSOZmswBPp1O5gdPKxKQv/jz9zIzE5DyTBYwzWk3TsL29jaOjo5VtUJ1OR+xZBINGVFWVokwv8nL3zY6Ts2D+LwDpgkkJA8DGxobMtykC43yW18j5MENPSM0z1zqdTiMWi+H4+FjsV1SEcxMWO2PP82Q1ZKFQkHzvRCKBaDQqVjJ27mQ1CEZ5tlotrK2t4ezZs7h16xa63e5K6hhn5Ewn4xzfcRyk02kp5nyvqA8oFotYW1uDpmloNpvy3jYaDbz00ktBgQ5wahAU6AAPiydmBh2LxWTPMGnfSCSCXC6H3d1deJ4nKxUZjxmPx8WiRI9xt9tFr9dDq9VCNpsVexFnn8CiSGxsbKDT6cicE1jYhl566SXkcrmVrpVeaKZdsYNfX19HLBZDo9HA1taWbNHijmMWbhYoVVVx9+7dFfsT1dcsZu12G47jIJVKyYKOZrMpW5woHlNVFfl8Hv1+X3zI9I0XCgXcunULt27dEhrdsizxQrfbbTkAcCbO4BN23Pws+v0+JpMJNjc3oSgK8vk8AMiBgsEkJycn2N3dxcnJidi2JpMJyuUyDMNAu91Gu92WawUeBJv0+/2VzV0AoOs6QqEQdnZ2EI1G8dJLL8nSjul0iqeffvrn9JsZIECAAB8cTkWBXp4hky62bRutVku8tgCEklUURVK8WEiBB2Ek0WgU2WxWvhcASqUSWq0W5vM5jo+PJSAjlUpJwWKHmkwm0W4v9rNblrVCX1PAdXx8jM3NTRSLRUQiEcTjcaRSKTSbTfR6PZimiW63i36/L4ElXNhBP/Py1i7S0pqmSYHiYx4eHsosl/9GURijL5cPFYqi4MyZM1IoaZc6OjoSXzPjTfn+08bFGS/fH3a8uVxO4kCZ582fN00TrVYLvV5PrGacLZN+55ISKsdJ5TM9jBR5s9mE7/sYDof4+7//e+RyOei6Ls+nqiquXbv2+H4ZAwQIEOCU4FRQ3Llczr969SqOjo5kxSE733Q6jX6/L7Sx53lC/VKpTDHS8ppFFhGKwzizJS3+yU9+EqVSSbZiTadTbG9vQ1EUNBoNOI4jXl7DMCQAhP5rFphMJiPWrOFwKMrpRqMhxd40TZnPFotFaJqGg4MDOI6DWCyGeDwuj8dFE4wTpX2J9D0pZ26Iikaj8jOkw9mJL2eMc3MV10gy63x5axZ94RTA0Ya2bPNajuTsdDqwbRuhUEgWfTASlEI1JpmxmHPWzNhOZnFz3JDL5VAulwEsUs+4AatUKiGRSKBSqWB3dxdvvfVWQHEHODUIKO4AD4snhuKezWb4zGc+gzfffBPNZnNl7glA1g8yzYvdJqlZ4MHaSc6j2SVyMQMAWS4RjUZxcnKCH/7wh0gmk8jlcqL6dhwHiUQC3W4XkUgEOzs7cmgAIPNxTdOQz+ext7cn3ebx8bFQ5IyvtCwLW1tb2N3dxZUrV8Ry5TgOfN/HL//yL+Ott95CrVaD67rIZDLwPA+2bSORSCCRSIinmpYw+sDp32by2Gg0QrPZlIUXwINkr62tLdi2LZQyqXXGfVK9zt3WPAABi3n9Zz/7WVy/fh3dblf2SpN1GI/HksnNgxUAVKtV0QI4joNMJgPTNEUtzvQ2shjz+RzNZhOTyURWf1LUt7u7K9GnmUzm5/BbGSBAgAAfLE5FB53NZv3f+I3fwPHxMVzXRbVaFUEYFcO8iTNwYzqd4vDwELZtA4B0aFRhM1GLNiKKrtbW1pDP5/GjH/1IBGP8HhZ5Xddx/vx58TRT7GVZliSI0bdcKBQwnU7RaDRQqVSkeNfrdbEjLau/eVhgghkLHH3GiUQCmqZJIdU0DcViEYZh4OjoCNlsFuvr6wCA27dvYzKZwPd98U/XajWh4wFI2AqwKNa1Wk0U8oqiQFEUJJNJEcfx681mE8lkUmhpCtVisZhQ15xte54nKWZ8TqrZqRJPJpNIp9NysNB1HZqmYX9/Xw4IAEQkVigUYBiGjClozwKAzc1N/PVf/3XQQQc4NQg66AAPi0ei4lYU5Y8A/JcA6r7vf+T+1zIA/gzANoA9AL/t+35HWQx8/yOALwIYAvivfd9//d0uwrIs/+mnn5ZumAWRCmSKi1gkPc/Db//2b+PGjRt4/fXXhcJenmuORiNMJhOkUikAEMETaWZ2pVzOQTsRDwJUQHNRBSMuucmJdqPJZCL7pePxOBqNBtrttqjO0+m0+KYjkYhYh46PjyUAhLNtrlXk62G2N98PgmlrqVQKa2trmM/nqNfrMt9lnOZwOJR1kDwgTKdTmKaJZDIpvmz+HG1mPKzQ/pROp0WktbyEZFmRzteyfJhZft/YoZOlWN6uxREAmQAeTDg64AGEXvgzZ87gT/7kT4ICHeA94edxDwsKdICHxXsp0KF3+wYAfwzgn73ja/8GwLd8378A4Fv3/xsA/gsAF+7/+RKA/+O9XChvyJyBUtHLQrNsVaLo6stf/jKuXbsm3mBuvmIB5e7gSqUitClpW3Z1XB5BBTZTxrhViwWHXd9yQEi73Ua325WDAQsY4yu5MYrXDywOCa1WSxTXy7nSy9nXAGTVIsNQarWaCLF4/Zw5U4RVrVZx9+5dtNttoaFDoRDy+bxcB9+XTqcD3/el+KVSKZTLZcRiMfka6W92+6lUColEQv5d0zScO3cOW1tbokzn50SRm2maMp/n6CGVSomC3Pd9WWZCmxo/f0VRhEnh4cv3fRweHr6XX6sAAYg/xmO+hwUI8DjwrjNo3/e/qyjK9ju+/GsAPnf/7/8JwLcB/Ov7X/+//UVb/pKiKClFUdZ836/+tOfwPA+NRgPpdHplRSOpUvp3qeY9ODiAqqqIx+PY29tDIpEQvyywKBKDwUAWXXBufenSJSkEg8FAPLyWZYkwicKsbrcrM2B2fefOnZPitLGxgTfffBO5XE5iRblwgvNVRmICkGLMQwgtU7SKseNtNptyQKAXm1S07/si/lpbW8Pdu3dh2zYymQxmsxmazaas4uz3+xiPxxIFyixyFjx2zYwGLRaLyGQyKBQKGA6HaLfbkvlN5XexWMQrr7wC3/eRzWYxGAxwcnIij+P7/kqyG6+bn0soFMJ0OhWqmkrzk5MTNJtNAJDtWLquY3NzU5TwnU5Hum6KAQMEeC/4edzDAgR4HPhZRWJF/sL6vl9VFKVw/+sbAJbbm8r9r/2jX25FUb6ExQlVQjTYCbNDZBfF8BJ6kVVVRTabhaIoKJVK0DQNOzs76PV6uHv3LhKJBAqFAmzblq9Xq1V0u13pkO9fAyzLQqFQwGAwQLfbRavVAgCUy2Ukk0n0+30oioKnnnpKCo3v+9jb20MqlZIlD8sqc85yAaysk1xOznIcB91uV4RwjNskrcwgD9q86AFnhvXt27cRDodRLBalG1VVFb1eT6xbZA0oPONc27IsrK+vw3VdtNtt5PN5HB0d4eTkRN7/cDgsyuzRaATf93F0dCTBIuzO2a0PBgOYpolsNruSCkYw9OT8+fM4f/48Wq2WxLiSQVFVFYPBAJ7nwXEcvPjiiyJYY2fPiNYAAd4nHuk9LECAx4FHreL+SZz6T5zN+L7/hwD+EFhkcZumiWq1iq2tLbnBs2CTInYcB8lkEoPBQOabwIIiv3btmoRf2LYNXdeRyWRQqVRkZWWz2ZRc6+3tbezt7aFSqWBvb0981cPhEJlMRjq15eSyu3fvYjgcykz36aefxp07dzAajWSTViwWk6JDFmBjYwMf/ehH0Ww2sbe3h9FohBdeeAEHBwc4Pj6WGTvtT5zhDgYDiTiNx+O4dOkSPM8TAVetVsNoNBI/taZpYjFjl8kFIPP5HBcvXsR0OsV0OpWDSCgUwmAwkDjQarW6YueyLEv2YcdiMRkDPPXUU7J1ajKZIB6Py7IMfiYUkHFTmK7rcBwH+/v7mE6nWF9fF/qc71WxWMR8PpcEt+XDlOM4EiMaIMBjws90Dwtm0AEeB37WAn1C2kdRlDUA9ftfrwAoL33fJoDjd72I+90fA0k2NzcxGo1wcnIi9DG7J86oaVXa2toSxTbnspFIBPV6fWVtJZdr0K51/fp1dDodjEYjEZLRY81ubjQaSQfNjGtVVeF5HnRdl2vjjDWbzSKXy8nGLQCyZONrX/sastmszG5//OMfy3x5uWvO5/NotVp4+umn8cUvfhEHBwf45je/iYsXL+LSpUv49re/jfl8Lv7tXq8naWjsjtfW1tDv91Gr1WSWbVkWTk5OZL0lA1G4w7ndbkNV1X8UvclwFH4/t2zRcpXNZiVpDYCwA5xhM4QkFArh3LlzePvtt7G7uytFvVKpiMc7FAqh1+shn8/LezgYDEQ5zoLNg1mAAO8Dj/QeFiDA48DPWqD/CsDvAvj39//3L5e+/q8URfkygE8A6L2X2Q2FVUdHR7BtG41GQ0RM9MPSt0vKutFoSCQlA0uWAzc2NzfRaDTQ7/elC5vP5+j1euj1ehLcsb29jZ2dHQyHQ9y5cweTyQTNZlMsU+vr66ImzufziMViaDab6Ha7QpkriiL09NbWFkKhEN566y1ZhkEKn+sc8/k8crkcjo6OsLGxgcFgIBu6KOa6du2a5GvPZjO8/PLLePnllxGPx1cKVLFYBACJ+3QcB6PRCJZlSfdLHzKLnmma2NnZkUCVVCoFx3EwGAxkQQfFazwczWYztNttHB8fC9XPTjedTgvVT0qeQrFQKIRWqwVVVfH666/DdV0Ui0U4joM7d+6IrYtBLnwPOOtn3jm7eYrVAgR4n3ik97AAAR4H3ovN6k+xEFPkAJwA+J8B/H8A/hzAGQAHAH7L9/32fYvC/46FYnII4L/xff/Vd7uIZDLp7+zswHVdmKYpwiZFUVAul0WhzR3Fk8lEkrp0XZcOkTQo86TZMQJY2dbELphFlbQsu0MAojSez+dIJpOwbVt2VjM0hClgpHnp+6VCOxQKodPp4MKFCxgOh6jVakKZRyIRjEYjKVA8ODAAhJQ3hWLD4VB83aSz37m5KpFIrFi2qKgulUqIRCKyP5riNFql8vk81tbWUK/Xsbu7i/F4DMuykEqlYFkWOp2OJLANh0N5v2i5oh2N7wHfU1qvyH4QpNMbjYZY3Pg5sYMHINS47/tyYOPn9MorrwQ2qwDvCT+Pe1hAcQd4WDxR26zo12XXBDzIa6bNioUnm83C931cvXoVt2/fRqlUQj6fx1e/+lWoqopcLidiI3qdO52OPFY0GhV/bTqdlqJTKCx0IrT70OpF+n1tbQ2e5+Hw8FAKted50DRNVNxM1yLYDVJlfeHCBdkUdfnyZbz99ttSnEi5cxFIo9GQRDHDMEQRDixYByqbS6WSvGcbGxvS2Xc6HZnZjsdjAJD3MR6PIxaLodfr4fLly2i32+j1enAcBx/72MdQrVbR6XQAQN5/vp8AsL29Ddu2ce7cObTbbRweHmI4HEq6Gw8SnMu3Wi0YhiFK7FAoJLnbVIkDkBFEKpWC53miAyC9zv9+8cUXgwId4NQgKNABHhZPTIGOxWI+1djLs0xagkh9srukIpqFjPNSRVFwfHwsKVeWZSGXy6Hb7WIwGMhjM6iDQrLt7W14noe33noL169fl65wuRMOh8OyA5qK63g8LqsRAYg4izGeFJP1+330ej2Uy2XZJsUiBSwWS1B1zTxvwzBEIMYCxcATUsqNRgPlchnb29uy7CIWi61Q1Ewv29jYwK/+6q/iK1/5Cmq1GqbTKba2tnD9+nXJ9Ga0ZjabhWEYeO2110Q9DyzU9rR1cdnHmTNncO7cOfzDP/wD8vk8VFXF4eEhyuUyXnvtNfkMPM+TDVlMelsOirl06RLG47H4vLPZLGKxGE5OToQ98TwPqVQKm5ub+PKXvxwU6ACnBkGBDvCweGIKtKZp/uXLl1cSq4bDIc6fPy9iKGBBjRYKBVy7dk0sSMVicWXHczablcUYVDVHo1EMBgPE43HxD/d6PSm6LED3r0UobEZOki5eLtg8FOi6LpYoFsNkMimBKEwPowqas14WWz4m1z8ub21igY9EImi1WgiFQkgkEiKoarfb8u++70vn7rqu2JK4u3o2m6Hb7QoLASwKLlXyo9FIKHzO3BnEAkCsVcvzZdd1kUgksLGxAQCirmdISbfbFTU+6f9arYbJZCIHoOVDCS1VfHz61efzuXzeVMt/61vfCgp0gFODoEAHeFg8McsywuGwdHC07pimiV6vJ1nbyWQSu7u72N3dlWIxmUywv78PwzAQj8dl81Sv18N0OpUksvl8jgsXLqDX60miFX+GliUWPC7ToJq73++j3W5jfX1d5qF8/ul0iqOjI4kh5V5qFhh+f7lcxu3bt1esTclkEs899xwODg7w8Y9/HK7r4pVXXpGumilb7NANw4CiKEin01BVVTpfTdOky9zc3ES5XMbe3t6KHYnWL1LapKkBiMeZs/dlGh1YiM8YwBKJRORgYxgGcrkcarUadnd3RYm9ubkpUaeJREK66kajIbuwK5UKHMeBrusi/DIMQzZ4nTlzRoJSCoUCkskkvvjFL8KyLPzxH/+xLOYIECBAgA8zTkWBZkEjhcwC6Xme7AmORCIiglr+ufF4LDPk+XyOt956CwBEBOX7PlRVRbVaRaFQkJ9nAaeQi/YsWqb4GKSbXdeVsI3ZbCabsRKJhNDLjMZc9mcbhoH9/X2J5WT367oubty4gVAohN3dXRFeOY6D6XSKtbU1CeVgJ76+vi4F8vz582g2m0KDR6NR8XmnUimhixn6waSvZcYkHA6j1+shlUrBMAxRtg8GAxGgcfMV3zN27CzO3I8NQBgCUuz9fh/JZBKlUgnD4VDyv7PZrKzhLJfLODg4gOu6sq7y6OgI4/EYuVwOuVwO4XAY3/zmNyXrnO93gAABAnyYcSoKNAChWTlb1nUdtm0LrcoOFYAolzl3JiVN1bCiKLKcgvuMPc/D8fExDMMQ2pleZlLT7H4pJCP9OplMhDKmGGs4HMoBgPai7e3tFYU5XxfXQzKXejweYzQaIRqNYjqdot/vw7IsGIaBUqkkKWqkp9ntT6dT8U6HQiEYhiE2LHa6w+EQV65cgW3buH37ttiT+P6+s1AzlIWRqpZlIZFIwLZt9Ho9uU4K5vi58O/0SHPZBQvtZDLB2tqabPli2trm5iZs24amacjlcjBNE7lcDpZlod1uy3uSy+Vw9uxZGIaBdrsty0CWQ1gCBAgQ4MOMUzGDNgzDf+aZZ2RzFAsOgyuWozRZkIEHimQGb9B+BEBu4oyx5L5nqpEJ13WlOJJW57yZMZeO46BcLkuRvHXrFjY3N5FMJlGtVleKeqlUQi6Xk5WU8/kc9+7dw3g8hmEYooTmf7P4ARBKejqd4syZMxiNRmI529jYEGEWvcqbm5u4ffu2dLbPPfcc3njjDSl0hUJBGIB2u43ZbCZF8fDwELlcTqJU2SUz3rPVamEwGEguNufLiUQCoVBIiv3W1haazaaMFRjDmU6nZU0l2QDO4akboIKbBywK7JhFzp8HIK+dB5I33ngjmEEHODUIZtABHhZPjEjMMAz/4sWLIuhiohc9sSwuLMYssEzpog/4/PnziEajqNVqiMfjACD7m5cXRHDtIn3Ok8kElmXBNE3E43Gk02l0Oh1JIpvP5yKgomWI3RwjQlngW60WRqOR7J1OpVKoVqs4PDyUzU2RSASpVArhcBitVguO44iVinPv5TxvwrZtUTczl5wz6uXOcmNjQ3zGpVIJ5XIZ165dw3Q6FWEcrVaapomYi8pqes2ZvsZ4UArvyGZMp1Pp+LPZLGzbloAXqtz53sxmM/FHc8tVMpmEoiio1WqylIOdOndFUzBHqxhDS15//fWgQAc4NQgKdICHxRNToDVN87e2tmSbFYVS7JqKxeKK0phUOOecVPiSGo7FYojFYhiPxzLXprDLdV3U63WxOeVyOWxtbcGyLDQaDQAQYRqfg0stWCzoe1YUBd1uF8DCuhWJRPDrv/7rqNfruHnzplDQfDx6e/k8AOTQwMddFszx+kKhEI6OjmSFJDtmLtBg8Am3aL3T6sUo0OHw/2fvzWLkSq8zwe+PfblxY99yY2aSWcwqlsiqqZIlSyigBViwyxjIMw9jax7a7Wm51Q82ejywgbE1D9NAA4Zh9NjwuBvGqMcNjzFuaQS7YRmC1zbUKssl2ipRpFhckmsyl4iM/cYecWO585D5HUZIchVTVSwm6f8DCpUMRsaWyXv+c8639ISA12q10O12ZTTO12KaJgzDEBIX86K5TyfLnft/t9st7mfJZFLczzit4MQjFosJ256cg1AoJD9DRktyxA1ApGY8eHCF4fF48LWvfU0XaI0TA12gNY6Lp4bFTcbvysoKKpUKKpUKfD6fdJDNZlO+ZkgGCzEAGIYBx3Fg2zaSyaR0odwrs4gMh0M4joNoNIpsNotWq4VYLIZyuSzOZdTgFotFjMdjLCwsoFqtwjAMABBHLRb4ZDIpRh7NZhMXL16U1zKdTrG5uYkbN26gWCyKk5lt24jH49Kh53I5KZrhcBgejwf1el26Vcuy5oozJVOmaUohpzGIz+dDv9+HaZry+XI3zI6fxZWkNTLi+f44kRiNRnLwoWsYx+5kdns8HpimCdu2USwWZY//3HPPSVTkhQsXUC6X0Ww2YZqm/Dy4XmAWOA8GNE0BILt/ysvIL9DQ0NB41nEiCjT3zZQVUcdLwhF3lOwaWZAMw0CtVpOuimPiWSY4rSTp9EWTk263Kx7VqVRKCi9dxni/er2OVColjwNAHtvr9WJzcxP1el3G5MFgcK4Qfuc735G9Nrtkn883V6zu3buH6XSKcDiMpaUlJJNJWJaFUqmEQqEgmdYcfdu2LV05X6/f70cwGES5XBZ3NOrAKT/j62ZR5j6exZmsdbK7uW+mdprsc04P6GbGgwYPQ6Zpihubz+fD9va2dNSUaMViMfT7fWFx1+t1FItFOI4jxDjqzUejERKJhDzXrFObhoaGxrOKE1GgQ6EQQqEQ7t27J/tZXoQZ8EAvbI/Hg3w+D7/fj36/L8YhsVhMOkvgoU0oizL3oewCXS6XdMU3btwQ/2l6Y+fzeSwuLqJWq6FYfOiVzzAH4NABjM5ltPhkd5dOpzEYDNDtdiWtipKn0WgkMi2maU0mE4mBpCkJixI7fxZAl8sleuhut4t6vS7F3jAMIWIxhhIAqtWqpF1xvEwWdjQaRblclgLNDpmSKbK+LcuScToJXNFoFADkefi1bduIxWLIZrOo1+tot9syqgcgY3Lun/v9vhTvRCIBy7LkMenGxsCRdDr92H4XNTQ0NE4KTsQOOhgMOh/5yEdkPAtAvJpZiF588UXU63UZN9O3erZ7oyyKDGbDMFAsFoWAxJ1oMBhEo9GQYkx/Z8dxUK1W58IewuGwdMMkqZHVnEqlRNpEe1GOvzkW5uMQHFdnMhm4XC74fD4kEgnEYjHxwuYelo8RjUZlTzu7hycRzjAM2d/TeYtabsrFZhnulF5NJhPRLnNqwV0/Xbv4fa1WC/v7++h0OsKa52dPy06OqgEIIW00GuHChQsIhUKoVqvY2dlByr2L5AAAIABJREFUsViUDGwS7xhgcurUKdi2LQcDvmf+fClze/PNN/UOWuPEQO+gNY6Lp2oHzWxldroMaiDzuVqt4urVq1BKickFdcGUA7FTnU6nKBaLUEohFothbW0Nd+7ckS7Z7XZLcT537hy2trYwGo2kuJHUBDxMuEokEtjd3YXL5ZL9drValbE1zUzG4zFWVlZkHNtut+VgMJlMYJqmeF+zU11dXcVgMMDW1paQugqFgnhjMzWr3W4jnU6LhGlpaQnD4VAMRsbjMRKJBJRSKJVKqNfropkeDAbi/sVYThZQMsIty5L3TdMWAFKQV1ZWpBPn/jqRSKDZbEqxpn96NBrFzZs3ZddsWZZorJeWlkQbXq1W0Wg0hJxmmqa8d47IY7EYbt26hW63C9M0kcvlnsBvqYaGhsYHixPRQYfDYefMmTMYDofStbFgs5scDAaIRCKiJeYYmkxf+kezIJJZDEBIW2RHAxAjExaCfr8vWcOJRAK9Xg/VahXtdhter1dyiblLpvSH3Tk9ramJzmQyME1Tsq0tyxJWNcfu4XAYoVBI7DaHw6H4VrfbbWFNd7td2XFT8qWUkkOGy+WS7piaZu6VmQ7GXTINU1KpFAKBAPb39zGdTtFutzGZTGR8H41GJcKT04XhcIhKpSIdL9PA1tbWRDI2nU6RTCaxs7Mjj81JAXA4/uYUhKsMHhDYTff7fdi2LSQ57qWZyKWUwttvv607aI0TA91BaxwXT1UHTVIWANnHMq/Y7XaLVIjhFtQdM8hifX0d9+7dE4kPZVX9fl8sL0kgm/XM5vjX4/HghRdeEFkU9dU005iVawGQdCkS0vja2dnX63WJTfT7/XjllVewv7+P7e1tGe2y4ycLnLtVMr1pqxmLxWQXDTzc9/Jz6vV6CIfDEorBz5LPQw0yZViO46BQKMA0TUwmk7lDCEGzEo60g8Gg7K45NqeJCjtfup9VKhWMRiORus0yyLlP56GAo/VwOCyvhQcQysk6nY4cLMLhsCaJaWho/KPAiSjQZEfTNAN4mEE8HA6hlBISFDv+SCQiF+9QKIQrV67IyDSZTEohUEohmUyKwQWfzzAMKXh0Ifv6178O4KFsy+fzyV6VO1PmTcfjcRSLRdlPk1RFFy8Awq5eXV0Ve0+ypweDgeyRScKaTW4CDvXY/X4fH/nIR9ButxEOh0ViVqlUkM/n0Wg00O12UalU4PV6Yds2JpMJVldXsbS0BI/Hg729PbTbbfk8qGs+ODgQCRMAeb+DwUBG1mRyM2mL0wwWyVarJTnN7JZpAvPyyy8jGAxid3cXrVYLPp8Ppmni5s2b4lTG/TUPY5/61Kdg2zZyuRxu376Nvb09hEIhfPKTn4Rt27h69aow2DU0NDSeZZyIETfjJoHDHebCwoKMWxkOwQv4mTNnMBqNsLu7K2PReDwO4GH2Me03qREmaYtfz0YmzkYnkjmcyWSkcJKwRIKYUkqypkulEvx+P7rd7tzzzB4EAEgnbts20um0GLHw73gYYYFkslYikZDOla5aNG0hK9ztdqNSqcC2bYxGI/k7xjIya5pFlUzw4XAoXTSZ6YyapA1nr9eTMT73ztQru91uSQYjk3s8HsPv92NxcRHb29tot9uIxWJwuVzY29v7nqkFcHgY6vV6koBFxzCOwNlhLy0tYXt7Ww5L165d0yNujRMDPeLWOC6eGiexSCTifPKTnxS5Dfe7tVptTk+bSCQQjUaxtbUlO+N6vQ7LsuYymFlIAYj8aXl5WYhQLNAs2kxR4q41lUqJRprs5NnCRskTLUcjkQhM08Te3h6Gw6HsfG3bFj0v3cjo/mUYhoy4eR+fz4doNIpGoyESJ74Gj8cj9yMpjNIyaozJtu71emJiQiJYvV6H4ziyt6Y2m4Q7jsUZMEIjEu64ya5n50xCmsvlkrQsjr35Xrg3jsViYjTjOM6c5SqjI/lZkJnP1YXjOCKJ42h9PB7j5s2bukBrnBjoAq1xXLwvO2il1H8E8N8CKDuO8+LRbf8awL8AQM/KzzmO86dHf/crAD4DYALgXzmO8xfv9hzT6VSK0muvvSZ5xpT8/PiP/7h0x5QoFYtFlMtlnD17VvKG6b5Vr9eF4DSZTNDtdnHr1q25HetgMEAulxMHsVQqhbNnzwq7mmPvdrst5LAzZ85I0SwUCjh//jzC4TDu3r0ro3YWSiZoUXZVLpcRCoWwvLwM4OGYnQEdLLw0JWH+NLt7v98v43uPx4NSqSSFkQcCdsEkoCUSCenKr1y5glarhVKpBOBwV76wsCCF1rIs8eSmexh37vzcgsEgIpGIEPdI5ur3++KG9u1vf1sONTRuGY1GsCxLJiEs4PV6XSRfHLv7/X6kUikkk0mRdXG3PRgMRJ6mofGo+CCuYRoajwOPsoP+PQD/DsDvf9ftv+k4zr+dvUEp9QKATwM4B2ABwH9RSj3nOM4E7wCydKPRKLa3t4UkxZ3sV7/6VZw9exaLi4vw+/0y9o7FYiiVStIl0jCETG/6WpPcxO7UsiwZ+2azWTSbTSE0NRoNKSJkXUciEdRqNZFiNRoNGIaB7e1thEIh7OzsAIAUDhLZKNEKBAJIp9MIBoNz0iyyytnlB4NB2LaNRCKBlZUVsQft9XooFovSIff7ffR6PTkQZLNZGdeXSiUhju3v78Pr9SKZTMr4nY5g7MLZ+TNTm3K1ZDKJWCyGVquF4XCIH/7hH8Ybb7wh+3F2vPTy5kEmFouh0+nM2YUOh0OYponRaIRMJiMHL47MKVHj5IOMcErtOL2IxWJicaqhcQz8Hh7zNUxD43HgXQu04zhvKKVWH/HxfgLAFx3HGQK4r5S6A+CHAHzjnb6Jne5wOES5XJaRLQMabNvGrVu3sLOzA4/HI57UzGoGMDdOtm1bOshms4lqtSr7bDKZWUw5buVzG4YhhXgwGIjxCQDcvHlT9rU0FGGHys47Go0iGo1iPB6jUqmIZprEM+Bwzx6LxYQRnkgkAECY0LZt4/r163NyLO5e2c3TTMXj8YiHd6vVkqKmlEIoFAIA0YkHAgFEo1GMRiOx8lxaWsKtW7dE0gVARuMkstVqNXzxi19EPB6Xzy2fzyMejwtJjp30zs4OBoOB6KndbjeWlpYkVazdbsPj8eDUqVNIpVK4e/cubt++LQYy9Frf3NzE5uYmtre35edhWRYCgYAcEjQ0HgUfxDVMQ+Nx4L2wuH9eKfXTAN4C8IuO4zQALAK4OHOfvaPbvgdKqc8C+CwAKXQejwfVahWmaSISicDtduPOnTvCnC6VShiPx1hcXJSL9cLCAvr9Pg4ODoQpbBgGVlZWJPfYMAxhG1PXyyJH/S/NNdjJsbC2222Ypimja4/Hg8XFRdi2jVarJZpt+ngfHBygVCohm80ilUrB6/WKdngwGODcuXNYWloSW1P6XpMoRXtPMrZJxAIgr4MOYI1GA5PJBL1eD41GAx6PB2tra2I5Wq1WMRwO0Wq1pLDWajV+/rh9+zbu3r0L0zRx6tQpZDIZfOtb30Kj0ZDgCx4i0um0TDY8Hg+azaYcVqbTKaLRKNLpNC5cuIB79+6hVquJaQkJYnx+x3FQLBbh9XrR7/cRDofFdrVareLUqVNyX3bPtCXt9/uyt9bQeI94365hGhqPA49EEjs6fX5lZn+TBVAF4AD4NwDyjuP8c6XUvwfwDcdx/t+j+/0ugD91HOeP3unxo9Go87GPfUwITsx85ig4GAzKjlkphbW1NZw9exYHBwcIhUJot9sYDocIBoOo1+vo9XpSIBhzSHtMamoZGTkYDPCJT3xCvs/r9SIcDkskJQuQz+dDPB6XfSo7b+qzyfQmOWpWl8zCNmsF6vF4EI/HYZomWq2WjKnv3bs3F/fIx242m7BtWxju0+kUjuNIMaZd6MHBAVKpFKrVquzXWVAByCjb7XYDOJw8ZDIZ0Y0nEgl4PB4hoBWLRVy/fl0kWplMRhzTWFQp4QIw58RGaVoymcTGxga2t7dRr9fltVPbTDKYz+fD4uIiEokEDg4O4Ha7EY1G4XK5MBwOce/ePTkUaJKYxnHwuK9hmiSmcVw8NqMSx3FK/Fop9R8AfOXoj3sAlmfuugSg8G6PZ9s29vb2+NgAIPIl6ooDgYDIbizLwtWrV0X3y9zl69evI5lM4kMf+hDcbjfK5TIsy8JkMkE+n0c0GkWn08GtW7dQrVaFHX7x4kW4XC5sbGxgZWVFCGqO4yCRSGBnZwfNZhPlcllsP9nhMouaj01XMGY+MzSCyVicBgwGA+zu7oo2eHt7W0hVLFjNZlPSpaLRKHq9ngRWABDGNYuX1+tFKpWS10Bme6VSEZnYLBOaLG46qbXbbTSbTSmuzMLmzpeyMR4qWq0WQqGQhGcAh9OQXC4nO/xwOAy/34+bN29KMhX5ATwMdLtdcXVrNpsSnFGtVrG+vi5Roel0WjgHGhrvBe/3NUxD43HgByrQSqm84ziMePrvAbx99PWfAPhPSqnfwCHBYgPA3z/C40mMYSQSka4TOGQOx+Nx2cF6vV4Eg0H80i/9En77t38bzWZTTDzi8TiSySQGg4Fog+l7zZCGQCCA9fV11Ot1hEIhYUDTuAN4OHJnAZ9NqVJKyQ40Go3C7/fDsiz0+32srKzA7XZL0aaj2cc//nF8/etfl+LE0bjb7RZdMwstC2gmk5lLySoWi1hYWECv10O325XPjlK0cDiMTqcj74H74larhd3dXWGLRyIRycAOBoOIxWJIp9Po9XpoNpt48cUXUa1WhUnPQk9eALvi0WgkBjCj0QjZbBbhcFgkaBzT02KU+/BkMgkAKJVKEqHJ5DHumk+fPg2fz4d8Po9bt24BgOjL19fXMR6Pce3atR/kV1dDA8D7fw3T0HgceBSZ1RcA/BMAKaXUHoD/HcA/UUq9hMPx0DaAfwkAjuNcU0p9CcB1AGMAP/co7EcWK+pg6bZFvXAkEpGdKHeuv/7rvw6Xy4WlpSWJdaRv9Xc/Ji0/SRDrdDo4derUHBucpCvuaIFDfTNH2uxcuRPlbpbOZwCwu7sLx3HEnpNmHleuXBE9N603XS6XkMkorZrNq6Zxh+M4ooUuFArwer1SBDOZDPr9vpCr+N6oW6bEicQ5/pndPQvt/v6+GJy8+eabSCQSGAwGSCaTwjIvlUpiCEPJk8vlwvr6OqrVqnT67XYb2WxWmOwApNDPRlgCQKVSQTwen7NL9fv9sragBMztdgv/gGRCDY1HxQdxDdPQeBw4EUYlfr/fOX/+PFwuF5LJJFKplPhqczzscrlECkV97myM5Gg0EtkOAAmbYDfHzrHX64kEiExlFm6yqfk4s65Xs1nKZHdzvL60tAQAQsiaTCZIJpOS98xiFg6HheA2HA5FGkYHLYZwMJGK9p0siLTUZDdKSRn14fxslFJzVqfA4e6Z75HM9I2NDcRiMZE00VWMnX6pVJLpwnA4RDwex4ULF3Dt2jVJnJo1dDEMA6lUCi6XSzy1gYd7afptAxBLUf6M2T1zrx4IBFCtVsURjYcb3v9v//Zv9Q5a48RA76A1jounxkksGAw6r7/+Oq5cuSJdmlIKkUgEmUxGukLuhbmnBCCdttvtRi6XQzweR7lclsAFpZREP7L7XVlZwf379+c6Vh4OKE9qNpuiw15fX8etW7dkPx4KhdBoNBAIBCS/mHvTdDotpiXJZBLXrl3D4uKi7NiZoxyLxWDbNmq1moy26/W6kK+Y9czHpYyL3ScZ0Dy4uFwulEol+YzYZXs8Hvh8PkQiETFO4fdGo1H4fD50u10h2gUCAaRSKbTbbZkmcARNgliv15PbGIQRCoXEAnUwGKBer4txCol0dImbJb8xuISs/Wq1Ki5xbrcbkUhEdvO1Wg2FQgGhUAjf+c53dIHWODHQBVrjuHhqCrRhGE46nZZM4Hq9jlQqhcXFRXEJ63Q6WFxcFPkQcGhgkc/nZVTLHbXL5ZobVXN8y+JG2VIqlUKz2RSyUy6Xg1IK6XQab7/9thQ/hjowmYoabOCwO6QOOp/PIxAIYHt7Wxjhfr8f8XgcrVYLL7/8Mra2tiThqVarYTKZzDHAWQAXFhYAQDpTr9eLQqEgt9GwhUQ5GnzQOW19fV18uH0+HyqVigRQcHXQbDYRj8eRy+Wwt7cnTmNcG/DxbNtGPp9Hs9kUdjo16XRDYzGmFSu9tnkwisViiEajaLVaMo4fDAaIRqNz+31K4GatRn0+H9LptPANhsOhZnFrnCjoAq1xXDw1BToSiTivvfaaaHvb7bbsavP5PLrdrhRlFkR2h+zAmO88myFN7S87T+5EAXyPJSeJWpRVcafKEXGr1UIkEkEwGBSS2KlTpzAcDnHnzh1hK9u2LYWddpjcWVMexcejUxnH3LTYpNSs3W7LY/E1Li0tyeh6lsTGx+N4OhaLIZVKwbIslMtlcU1bXFxEtVrF/fv3ZW/P98lpRDgcls+CnXgqlRJC3MHBgRRkjtXptU3ZVLfblR08TVDor51MJtFsNmWv3+12EY/HhZxHK9DZ/T7fc6fTgd/vx5UrV3SB1jgx0AVa47h4avKgAaDRaCCdTovsiGzt4XAI27aFyc3CEY1GYVmWsL0p26HjFE02Zl3JwuGwFHZ6anOMPcscnyWD0QdbKYVarSYSHzKUOa6dDdwYDoeiweaummYeJHCFQiFxBSNoAkLXMXbFfr9fCnC5XBaWOAsaXxO9vCeTCc6fP4/FxUVcvHgR1WpVWN50KGPB5yGCxZ650fwceKBg9GWr1YJt23JYsSwLo9EIsVhM2O5M1QoEAvI5AQ8POZ1ORzr08XiMeDyOcDg8F/rBgwH325ySzIaUaGhoaDzLOBEddDwed37qp34Kd+7cgVJK5DqDwQCtVguWZYkpBiU7y8vLuHz5MoCHsih6atNpixKfVCqFO3fu4Ed+5EcwmUyws7MjpKwHDx5IZ23btuyPU6mUxC5Wq1W89NJLuHnzphDSyuWy6IwzmQzC4TBCoRCuXbsm5iochXOUziJIa1O32y1MbHbOLFiWZclonQcDHi4ASCEPhUKyr6YFKf20eV/uful4BkA651QqJa5e/MzYxQIQFjkjLPn90WgUoVBImNlM27p7966MpPv9voRkMKYTgDi60XSEf6bELJfLiQ6bnwsPE+zM7969qztojRMD3UFrHBdPzYg7kUg4H//4x2HbtuxUeWFm90pvbMY1srtjNCHNRZLJpHRYHNnSUjMej0vRIsOY5CqXyyXdbiaTwSuvvIJIJALLsvCNb3xDmNkc2/Z6Penq6BQ2Go3gdrulA+RIOxQKIZ1OS1oTmdGtVgv7+/t4/vnnJQ3q/v37CAaDuHfvHhKJBPx+v2Q+TyYTdDodicXke+ConPdNJpOyJiDj27ZtNBoN6UxZkDleD4VC0k33+33U63WRSw2HQ9lFr6+vIx6Po9froVKpYGlpCblcTjr7crkM27YRjUaRSCTk+7m/r1QqCIVCcvDy+XxS6HkIOH36NL75zW/K3p9OaoZhYGFhAeVyGRcvXtQFWuPEQBdojePiqSnQwWDQefXVV8WXmqSpdDqNfD6Per0uwRMcAzOdiSPYV155RQw5OMIdDofCkGbXCgDZbFYKQ6/XE+tK6okfPHggO+G1tTWYpolbt25hf38fk8kE8Xgcg8EAjUZDmM+macKyLMTjcUwmE7Tbbdi2jbW1NQnWmE23Ag472263i0wmI7Isfn+325WDCg8YLPhkpnc6HfG29vl86PV6iEQiwtxmceZI3+VyodvtSsFkt8zwDOqR2a1T4mWaJj760Y+iVqtha2tLiG2DwQC2bYuzGff3lH5Rrka9d7fbnbMRBYDl5WVks1lcuXIF9XodXq9XRvyMs+R9eQCZTqd46623dIHWODHQBVrjuHiqCvTKyooEUZB45Ha7JSCiVCoJcYzpTYPBAMFgUKQ7ZAY3m03psBmKwZFyPB5HPp9Hp9NBLpfD9va2xCISiURCjDEAzGmL2ZVTzuX1eoX8xPQnr9eLX/3VX4Xb7cav/MqvoFgs4ty5c1KY2VXOPidZ4Hz8fD4v0ZKZTAYHBwfS5ZPxvbu7i263K50woyepJ2ZhDwaD3+OGNutzbpqmFEIas1DaRB/sdDqNbrcrhLNgMCjuY5Sr8XMpFAowTVMOFbRppYSNqVv8GUUiEfj9fpGx0dSkUqnIlIBMeYaSXL58WRdojRMDXaA1jounqkCvrq5KJxqPxyXzmLtopRQWFxfF/EMpJYYe9+/fh2VZczvSQCAgo1sysbvdrozAW60WgMPCmEgkhCTGfSetOvn83OPy8ED9byAQmJNasfAyHIN70+/evzJGEzgcszO+kSPsWCyG3d1d6XJ5QOBzcSzMkTWzmRuNhkjMaNQSjUZhGIYkgEUiETSbTezv7wuBDTgkvpGNHYlEcPv2bWFwUyLFNQNw2P3+2I/9GN544w3cvXtXEr68Xi82NjaQz+flNpK9HMfBxsaGMMn5/EwVSyQSSKfTMtLvdrsyDRiPxzBNE71eT3fQGicKukBrHBdPDYub8iDqYy3LEhtOr9crrG4W2nQ6LelTwWAQ+XxedtfsDNPptIyBSaLy+XzSoZKJTFvLdrsNwzCQSCQwGo1kPJ5MJhGJRNBoNET2w0JsGIZ06Ryrs6M2DAO2bQsLm4WZ75ETAu52i8WiMKv5etj9M9lqeXlZXLpIBpt1PKMVJkfO7H5pgEJWOnXTs6NvsqMZIsKISrLXu92ukO/4+L1eD3/+538Oj8cja4NZ05ZqtQrbtiWaku/3wYMH4o5GRnowGJRO3OVyiQa60+lItjSZ9zxQaGhoaDzLOBEFmi5g4/FYRrkcmTIkYmNjQ8hZbrcbCwsLODg4wCuvvILhcIhvf/vb2N3dRTKZRLfblaJAb+9UKiUd7fXr12XkWiwWxV50MpngU5/6FO7cuYO/+Zu/gWVZIo8yDAP5fF4CKO7evStSp+FwiF6vB9M0RRI0HA5F+sXvoWc47Tr9fr8cKKbTqezQeSChfIrvg57XACRist1uo1KpQCmFT3ziE7h27RpM0xSrTsuyhGSXzWaxsLCAVCqFvb09bG9vS5Fut9uYTqdy2GHBHA6HElXpOI7cjzIy6pUZ6sFJwmg0EmY7ncZcLheazSYODg6glBLCHPXoPKhVKhVJsMrlcqJ7599raGho/GPAiRhxRyIR58Mf/rCQoDwejzCVZ8lI6+vrstu8e/euJClFo1FxpOIIln7X0+lUim84HMa5c+fgdrvx93//91LsWFzZvTPogjpnJlRxzOs4jjiMca/LDjoSiSCfz8v4mON4SpFYyEiO2tnZkQ52Op3KXtfv90uxBx7aYnIPzve3sbEhGdRkX7NQdjodiZmkDzeTqQqFAnq9HgzDENIXJWOUR3GFwN30gwcPYBiG+GJns1lMJhM5BLlcLkQiESGs8aBFL3MAuH//Pvx+P/x+P8LhMAqFgti7Uua2trYmk4NwOAy32y3RoyzcWmalcZKgR9wax8VTM+IGDnfGtMfkiLPX681FGNLPmhIsjkF58TYMQ9jH4XAYhmHA7XZjd3cXfr8fmUwGwKEpCjvFarWKUCgkz8fISjKeKf2i4xULMYslmdnAoTZ4c3MTlmVJAVpaWpLHoRSq2+2i1+thb29PxsgAsLa2hnq9DgAS4jGre6aUy+v1IpPJyG3D4VDIVM899xyUUrhz546sB1hoG40GHjx4IElTJGlNJhM4joNYLDbnN07jFaZhxWIxWSUAwP7+vjDPM5mM3J/cAZLz2u02Wq2W7Pn5nhhd2e/3ZYpgGMacxzj9voFD8l6r1RKbVQ0NDY1nGSeiQLOQsJCx4LFIZLNZ1Ot16aBGo5HEEjIn2O12o9/vY3l5Wb6PJh/RaBQejwf7+/sSrchiR4tJ4LAI9no92Ssz5YrErNk9rtvtRq1Ww2c+8xncuHFDxs/dbldcsWzbRrfbFblTt9sVo40PfehD4tmdSCQwnU5x8+ZNkYNxzD2dTsUZbVZe5vF4kE6nMRwOZS2QyWRkTx4Oh+Wws729jWw2i0wmI1K1aDSKWq0Gl8slpDzHcdBoNIQM5/V6EQqFsLGxga2tLdkbA0Aul5PDhNvtRrFYxHg8RjQahdvtRjgcxv7+vtiizuq/uRvvdruIRqNi0cpun8Xa6/XKlGI2xtPr9WJ7e/uD/BXV0NDQ+MBxIgo0iVS05kwkErIbBYByuSz2mPS09vv94vRFwtN0OkW1WpXiTdkPXb3q9bpohLnjZpdGmVI8HsdoNEKtVhM2N+VN586dkxG0UgoLCwv46le/ilQqJc5c7EB/8id/Ejdv3sTly5fFHa3RaCAYDMLr9aJUKslOenl5GY7jSCgIozPT6bTsaJPJpCQ9AQ+1zZlMRjTfLJ6dTkfIatxx08Oa9+G+mZGOvV4PtVpNGNPsYgeDAa5duyZxmcxvbrVaUEqJbpskuGq1KjwBjscDgQDi8bhkXHP/zs+L0ZO8f6lUwsLCghjP2LaNdruNdrs9l4aloaGh8SzjROygDcNwPvGJT8xJqihPmk6notVtNBpyO60suffkeJQMbzppsSNnZ9rpdGREyoSlYrGIXq8n8iWOYSORiIyD2UF3Oh2cO3dOigb9oln46YYVi8UwnU6RTCZRLBaFSc3RPLtbhmtQPkabzlAohIWFBcl5nkwm8v5pMkJ9MfeynDCk02mEQiFJv+LnxD0wyWx83XRMo6yMqWLFYhHAw3xseonzgMKJQb/fx8HBAbLZLFKplIy2+dlzDUDCFw9SZIZzgsEAEB52GEzCjG+uFl566SX85m/+pt5Ba5wY6B20xnHx1Oigw+Gw8+EPf1hIT5QaRaNRNJtNVCoV0cWym11bW5P7cX/scrlgmiYikYiQy4rFIkzTnJPm5HI57OzsyI6be1DqqGdTrMgcZjfp8Xjwsz/7s/ja174mBZUhFQBE78yiAkC6Vu5vKaGiBIz7bh4CmGLFMTWNUqh1no3PpPsXv+b/h7WFAAAgAElEQVT4mweY2TAOfs2pA//vcrmQTqeRy+VQKBRQqVREjgZAXhdJddwLZ7NZWJY197pm/1NKicaZE4vhcAiXyyWyOerLGapRKBTmyHYkqOVyOSG3jcdjnWalcaKgC7TGcfFUFejNzU0MBgPpDKntBSAxjOw4AQgpieNYam8BSHFrt9sol8sy2l1eXhYtLkfmzWZzLsUqFArNMbmBw90xGcmj0QjBYBCLi4vw+/0oFApzkqhKpQLHcbC8vCyFi0Ss/f19ZDIZcR4jOYsSJL6O5eVlXLp0aY4BHY/HkUgkUKlUZOdeKpVktAxAdrjcg/M1k5RFZvhgMEClUpH9M33OAcy5rxF8/SySTAZzHEf00tRBc2RNlzN+/+yunTwCfg6cfpC0xs+CYSEApIMnme0v//IvdYHWODHQBVrjuHhqWNwul0siCNkNApBCxOKslMJzzz2HcrksEiEW1VqtJiQu7pQTiQR8Ph8qlcpcVjOfp9/vCyGN5KtIJIKzZ89KB3jz5k0AD6MXKVna3d2VTg847E77/T6i0SiUUmi32xLiwfFxv9+Hz+cTIxMAsofm151OB5VKBfl8Hh6PZ04TvLu7K8lSi4uLyOVyqFarc0xsAAgGg2i1WuJ5zV0umfJ8bkZIApDwj9kO3TAM0TszbINe3dRAsyvme51Op9jZ2UGhUJh7fr/fD+BwP861BJ+Hrmx0cXO73YhEIgiFQsJ05+fDcb2GhobGs453LdBKqWUAvw8gB2AK4POO4/yWUioB4P8DsApgG8BPOo7TUIft3G8B+HEAPQA/4zjOpXd6Du6IGRvJC7fjOMhkMmg0GrJ/vHfvnhCFHMdBrVZDp9ORvGg6fCWTSWFz06+bBLPBYIB8Po9QKIRqtSpMY+AwsziZTIrel6Yi0+lUOs3JZCJZ1XQtm03esixLCGGDwQCO48AwDNFq93o9eU/j8RipVErY5KPRSOw66UfdarVw9uxZxGIx8cfmQcYwDHQ6HbRaLUynU5imKeQ2ALIGuH//vqRe8Xv49/zMeNghw5pM93a7DeDhIYYJYGSa9/t9FItFGZlPJhPEYjGcOnUKa2tr2NraQrFYFDY6O34W3FgsBsuyEAqFpPNvtVpycAEgoSb8rDQ0HgUfxPVLQ+Nx4VE66DGAX3Qc55JSKgLgW0qpvwLwMwD+2nGcX1NK/TKAXwbwvwJ4HcDG0X8fAfA7R///B0FiUCQSQb1eRygUgmEYyOVyaLVauHDhAq5evSokJl64+/2+jEepfS4Wi0Jion0nAx4ASEpWoVAQe0vgcM8ajUYlpYos5Wg0ilwuBwC4ffu2FMhKpYJIJILJZILt7W04jgPHcXD+/Hmxy6R3NHfNhUJBRtLRaPR7LDx3dnZw+vRp3L9/X1jp3IGPx2NxJ+v3+3jw4AGy2awYnzCustvtitQqn8/D7/djZ2cHwOGIm4UbgBw8aIjiOI4Q6Dh6p7kKWfN8XZPJBC+//DLefvttIYKRA2BZlhiivP322wCAzc1NYdUXi0VUKhUYhiEZ2PRO5yQlHo8jEomIBn44HMrrJvlNQ+MR8NivXxoajwvH3kErpb4M4N8d/fdPHMcpKqXyAP6r4zhnlVL/19HXXzi6/xbv9w89Zjgcds6cOYNz585hYWEBf/EXfwGPx4OlpSUEg0FhWbOIzNpDttttMdigDpfsY3p50yqTe2nHceTi3+12xZ2MY9rBYCD+z0xWmk6nkqfMwlWr1WAYBlZXV1Gr1VCr1RCLxWCaJq5fvy7j21l7zqWlpTmdb6fTkUQqGnzE43EEAgHU63VxIavVajBNU14XSW+Up3HiwLH+/fv3USqVEAwGZRxNpzTKntxut/y5UqkAgBThWCyGSCQiO+3Z1CoeHOLxOFZWVrC/v49utysHLeBwfB6JRISg993+4S6XC263G/v7++Lixh28x+NBPp9Ho9EQ0xoebAKBAJrNpk6z0viB8DiuX0f30ztojWPhfd9BK6VWAbwM4O8AZPlLe/RLnjm62yKA3Zlv2zu6be4XXCn1WQCfBSC2jt/85jdlTAoAN2/elJ0jR9/0ie52uxLGUK/X4Xa7RStMFysWcGY709Eqk8lI180RMIlUp06dEq3zZDJBvV4X0hX3puwyGSpx/fp12ZEHAgHRbVuWhVwuJ6SoUCgE0zQRjUZFnlSr1aCUEoY3Ayf8fj9Onz6NfD6P7e1ttFotBAIBtNttkWLRn7rf78voOZlMIhqNYmlpCbVaDXt7e9jZ2UEkEkE4HEYsFpOumAcVl8uFtbU1IbRxlE0jEzLOOTrnn5vNpmRLu91uGc/zsNNut+fMZWzbhmmayGazwgM4f/48arUams2mmJGEw2HppPmzsW0b+XweyWRSRu4aGsfB+3n9Ono8uYZpaDwOPHKBVkoZAP4IwC84jtNiEf1+d/0+t33P6dJxnM8D+DxwqINmBnMwGJQukJIkpkuxMFKf/PLLL6NQKEg6Vb1eF5vOWXJUqVQSMlUoFBLbTrpX0ZFsMBjgW9/6lkiYgMOOcjwey/6aI3Fqmc+cOTOncaYhit/vRy6Xg1JK5FuDwUDIZKPRCIZh4MyZM2I04vf7sbm5idu3b2M4HGJ/fx+7u7tiibm0tCSuW0zymj240N6U5KrBYIBcLodXXnkFxWIRW1tbGAwG8Hq9SKVSGAwGoiHnTjqdTgvLmwYs9P72er2wLAsulwuvvPIKut0uhsOhdOeTyQSVSgW9Xk/2+4z45H2OfLRFikXjFmqsLcuSn814PEYsFkMqlUKhUECxWBQNvIbGcfB+X7+A+WuY7qA1HgceqUArpbw4/OX+A8dx/vPRzSWlVH5mRFQ+un0PwPLMty8BeMelITOLeZFnV0uTDu49mf4UiUQQiUQwGo2Qz+dFZhUKhcSOkmNtWlcyQIK6X8qlIpGIEM/i8TjS6TSuX78uz6mUQjKZFLZzOByWUWw8Hke5XEaz2ZRC2ev1cOrUqTlXMOBwx82wCjqF9Xo91Ot1YXYPBgNcvnwZpmmKRAuAMMXJaJ4tsgBES2xZFi5evIhsNiujdsdxsL+/j729PQSDQWSzWdi2DcuypBAvLi6KxSYPIOyyGU0Zi8WwtraG559/Hvv7+zg4OJC0rn6/L3v+QCAgqWGGYcA0Tfh8PsnUpsvbdDrFaDSSyQXlaUopGIaBV199FY1GA81mU9YYs6YqGhqPisd9/dLQeFx4FBa3AvC7AG44jvMbM3/1JwD+GYBfO/r/l2du/3ml1BdxSK5ovtv+xu12y050NBqh1WpJXCQ7OABzBhizQREcDXNUzq/Z9bbbbek2e70eVlZWUCqVpOhGo1EAkKQq0zSFFc1dL/e87XZbRtCMSLRtW7pz3o+WltQVu91u8dtmd8+RLot7rVYTklowGEQ4HAYA6b4ByJjctm3cu3dvziaVhw8yzafTKfb399FsNuV2y7JEMsZEKsqouCvmOH7WWczn82F3dxd7e3sIBAJiCMPpBg8zsyEcs2YnwMN9PgD5bLmTDgaDCAQCQgorFotyYON7I3t7luimofFO+CCuXxoajwuP0kF/HMA/BXBVKXX56LbP4fAX+0tKqc8A2AHwPxz93Z/iUKJwB4cyhf/pUV5IOBzG+vo6Ll68KGPMYDCIYDCIarV6+GKPNLI0vVhfX0ez2US/30e73UYikRATEsZElstl2ZNyFF0ul+F2u9FoNCSOUimFer2OWq0mI/R+vy/aaR4UeBjgeJfhGo7joFwuyzibBwK/34/pdIqDgwPpKjmC393dhWmawtLmawEgUi23243FxUWsr6/PFVCS5bh7J8ms1WqhVquh0WgI0avRaMjommQrTiZooMLXytEyR+VkyvNwQ+04XdoAiLSKhiQ8oDDHmdpn+qMzZzsWi0leNMfWzJxWSkkkp9frxbVr19BoNBAKhSR8REPjEfCBXL80NB4HToSTmGmazquvviqRhpubm6jVarh165aYX5B4xI4tFoshHo9Lh8Y9LI0zmCjFgkVJD7twenzTT3o2cIMjc47bTdOU/fMsI5ujeB4abNtGIpFANptFq9WS9zedTqUg0pd61lxk1oaURc7n80kkJs1XSBQbj8cIh8Pw+/2iWWZRHI/HaLVaeP7558VAhAzsdruNeDwukwAWaIaGcLw8GAzQbDaFbT6dTrG8vCwZ13QoW1xcRCqVgmVZaLVakiBm27bYpfb7fXS7XaysrMylWTEVjOuIWatQfqaUofFnGo/H0W63sbq6ij/8wz/ULG6NEwO9g9Y4Lp4aq89gMOi89tpr0t2xQ+OIOhqNwjAM1Ot19Ho98a0GIC5Vy8vLkhXM0XAkEkG1WsXu7q4EMJCQxe5udi/NbnE0GiEcDkvQhWVZMAwDsVhMChq7UHaHfD2UKZG9rJTC888/j2QyiVqthmKxiE6nMydZ4q49nU7L808mE7EAXVxclIAMy7LEXYxmKoZhYGFhAQ8ePBAZGaVMs7KnWTtP7n45EaAFKMluAMQJjB07ANFcU2/dbDalyPKgMWsKY9s2MpmM7N55yAqHw/D5fCiVSrBtG6lUSsbsXHUw0pPvga9BKYW33npLF2iNEwNdoDWOi6fG6tPn88E0TenaSDhi98jidObMGTSbTVy7dk3SqtiFRaNR1Ot1yX4GIMzo8+fPYzweo1AozBleVKtVKbzscBk5aVkWer0e8vm8OIG122243W4Zux4cHOD06dNoNBoyPgYOd9kf+9jHoJTC1atXMRqN0Gw2pdh1Oh0Z0y4sLKBYLMLtdqPVakkEI/evNO/Y29sTxjn10+zaC4UCbt++DcMwhKTF8fxoNBI5Gt3W2JH6fD5ks1khudHGczweS+EloS4SiSCdTqPf76NQKCCfz0tqFX3TOXF44YUXMBgMUCgU5PHu37+PbreLfD6PeDwuDH2O8cvlsnzOlLX5/X5ks1lxdJudSmhoaGg86zgRBZpjVI4zl5eX5y7I+/v78Hg8OH36NPx+vxRjjkJpuDEYDFCtVhGNRmUk7vP5pNulvKnX6yGVSsFxHEwmE7z00kvodru4c+cO0um0jIzD4bDEHg6HQ2FVUzo0Ho9Rr9elMNM9LJvNziVWvfHGG9J5hkIhZLNZKbDslqndpuSLsie+D9qLsvsmk5xSMfpTu91uPHjwAM899xxKpZJIlTh2ZnfNx7IsSyIsGdXZ6XTw4MEDGWXT5pSxn4zxZEgGA0YGgwFs28aNGzfk83C73ZKuxV073+tzzz2Hb3zjG0L4AyA+5bQ65cEnHo9L8phmcWtoaPxjwIkYcYfDYYcOW7FYDH6/H+FwGKPRSC7GiUQCmUwGtVoN1WpVxsJut1u6PxKUWOgMw5BukQWff0+WcSwWQzKZnBs10yubudAAZJTMAsqCGQqFJEs6GAyKtAuAOGBxRMwCxZE9d7axWExyrgHIHpyj+lwuh2g0KtpwFjTbtiUkhO8JgIyEp9OpmKLYti12pBw30yc8GAzCsiwZ3fPxuHcn65wHFp/PJ0xqMuFDoZC4hfHAlUgkxMClWCzKbbQkpZQuFArNZWpz5M7XC0BIg81mE+VyGXfu3NEjbo0TAz3i1jgunpoR93Q6xenTp7G7u4tyuSw2l51OBwsLC3jllVewt7eHK1euoNVqwev1yn40nU7DNE10u10kEgkcHBxIJ2dZloxl6fXMDo7pSow19Hq98Hq9KBaL8Pl8Ir1icRqPx2JywlEwu3EWz2azKV0/NcSj0Ug6Qa/Xi2w2i2g0OleUWOQymYw4l4VCoTlbz06nI3In4HC/7vf7hcUeCAQwHA4lC9vtdiMcDs9lQnMH3O/3kc1mRWd8cHAgnwm15pw2cArBkTx329SR04qUjm2hUEgc3LhyePHFFxGLxeSznc2tPnv2rPim8+BBIhxDM0go63Q6Yo2qoaGh8azjRHTQhmE4r7/+OtrtNg4ODhAOh2VM3e124Xa7ZdcKQLpcFiB2s4ZhYGdnR4oER8eUXMViMUmTOnpeCXVg4SaJifpmjqBZtLxeL9LpNAzDEP9q6nMHg8Ec05la49nOlJpldu2TyQSWZUmi18bGBmq1mriisatsNptIp9PY2NhAt9vF1atXsbS0BOCwU2dMJdnq3L+z86RWmZ03R8fJZFLkUxxJ83Pj/p2yJ8uyEIlEJFiERK+9vT1Uq1W4XC6kUim0Wi1ks1kAh/GSBwcH2NjYQKfTQTQaxfr6Orxer7zPSCQir4EuYsDhYQA4HNvv7u7i1KlT4sX95ptv6g5a48RAd9Aax8VT00Gzs50lBQUCAWEs02uaO+DZXGeaabTbbWH8kmAFQIpzMBhEPB6XOMZOp4NisSidMQAp1DQbmZVazZKgfD4fyuUyut0u0uk0VldXpSCHw2Hcv39fnMu63a50ouwcgUOdM92+GJKhlMLu7q4YocwyzvP5PHq9Hq5evSq732q1OsegZudJ/TOZ6dwfUyYWi8WExEXyGjvt4XAou2capmQyGWFVc5dMzgDJZxyvs7u1LAvPP/88crkcJpOJWK1Wq1Vcv34dwWBQGOt+v18mAjRqYSdNQxefzyfa7mQy+UH/impoaGh84DgRBZo6Ye5obdsWR7DV1VVsb2+jVqvJ+JVa2XA4LDtmx3GwuLgoO9ButwuXy4XNzU20Wi2RYbXbbZimiVOnTsHtdot3NBnSlBqxwJPkxA670+ng0qVL4uBFslcoFBIS1oc+9CH0+310Oh0Mh0Pk83m89tpr4jNNi9B2u4379++LvIgJV9QEc1Q/e1BIp9OIxWJotVq4f/++5Ejbto10Oi3Fk935bBAIC75lWVhdXZVxPbvpYDAojO1AICA7/XK5DKWUTDYYhHH58mV4vV7ZeY/HYyQSCfney5cvixwsmUzC6/WiWq1K/rTL5UIkEpGfX7/fl9jMQqEgqwFmclNbPasb19DQ0HhWcWIKdLlcRiqVkm4aOGQoFwoFSTbiGJjMZeqmaX8ZCoXw8ssv4969e+h0OkLSYufM+Ebqk7nPphkK2cksyNy3ApBiPJlMJPhBKSWdJcexTNbiaJz+1n/8x38sO2yGWnDUzXAO6rDX1tZkGhAIBEQaxYJ/cHAg+miS3xjXSBIaJVrhcBilUknG8CzKjHJk+MXCwgLC4TB6vZ4EbZDYNplMsL6+Ls5hHE/H43HRPLOYA0Cj0ZCcasrTqHdmlCdNVmzbxsbGBvr9vnTu1IMXi8U5bXQgEJCsbg0NDY1nHSdiBx0MBp0XXnhBHKa4PwWAZrM5Z6ZBCdLCwgIWFxdRrVaRTCYxmUywu7srneDm5iYikQiazSaazaZ0asViUXaq7MZZIDm+7vV6iMViQn7y+/1IJBKoVCrSoTJEggEOND0BDhnNPAik02nE43G8+eabUEpJcecYnoWHXSRJXMBDww8Sw+hTTtkY3b/YBU+nUywsLMgonaYvAOQgQ5tSFnCO5fn+lVLClCYLnnt7SrE45aCjm1IKlUoFbrcbpmnCMAwJEWHXy0JLdzLuu/P5vNiculwu6bL5mZKpPzst8Xq9+LM/+zO9g9Y4MdA7aI3j4qlyEjtz5gwMw5CL+GwcHLtcxhMySIOFiQW21+vBNE2x8Gy320in00LC4miUBhytVkv2w8DDXTgjIplAxfAIsojT6bTspZPJpDDG9/f34ff7EQwGxUBlVtdND3Du2GcPBiSPsTNndz479ueunJ0yANnR0iXMMAyk02np9F999VVsbW2hUCjI9/H9ApBROA8dgUAAL774IpaXl/Gd73wHpVJJ1g0A5EDA4snADCZTkYBHYl+v14PX6xWv8PF4LLtl7p2r1ar8HCKRiJibzFqCTiYTmKaJeDyOvb09fPWrX9UFWuPEQBdojePiqSnQpmk6H/3oR6Urmy3Q3W5XjEEikYiQuzweD5aWllAoFKS79vl8qFarYmgBHBYgxkWSnU3TERZJhkEkEgmRC5FNTCkV4w4p8eKutlgszh0mMpmM7JpHoxFqtRqi0Sg6nQ76/T5SqRS8Xq8QzFwuFzwezxyxbTgcYn19Hfv7+0IgG41GyGQy6HQ68jmxSJPN7vf7pSulRKvT6eDOnTsYjUZIp9NSHDk5uHTpErxeL+LxuLwGdri0Gq1UKnC5XHOpWezyOVLv9/tifcpROcNNOIHweDziEhYOh+cY77RipWyMz+Xz+cRTnWNxt9uNK1eu6AKtcWKgC7TGcfHUFOhQKORcuHBBtM0c47KLJKuXhdjlcknR4sWdo1uSukiUOnv2LNxuN3Z2dqQL//SnP41Wq4U333xTOjNabdL4g+lPvV5Pxr7sdg3DEPcyADKO5WibOdBkNIfDYTkEJJNJ1Ot1AIfdbqPRQLFYhNfrRSKRwPLysozZg8EgAEhKFV3KmP7kcrnQbrcRiUQQjUbhOI5oumkDSqKYy+VCNBoVw5JkMgmXy4UrV65gMBhI0lQwGEQqlUI4HEYikZDuliuCW7duIRAIzEVpsrDT1MS2bRiGIdI3HkKi0ajo1In19XVcv34djuMgkUhI+AanC7u7u3AcR/b2TPz6yle+ogu0xomBLtAax8VTI7OazQ6eTCZzo1D6dNNZjEUvGAwKsYqOU+yKAUgi1O7ursiB2P196UtfkqSo5eVlJBIJbG9vS3GnLIhFgmQrvkZ2fTxQ+P1+BAIBIZGx057NOGYBIimMLG52+OPxWNjUlDKR+DaZTBAOh9Hv9yXbmR0yO/XBYIBMJgOPxyOvnR05Dw50FGNuNt8HSWgc2/Mw0Gw256IkI5EIzp07N8e4Z2gG99mURHF0TpLdzs6O/Mxs20YkEoFSCrdu3ZIuudFooN/vI51OI5FIoFAoyHqArz0ajaLdbj+B31INDQ2NDxYnokCTYFWpVOaiHwFgcXERW1tbQv7iTpKhERzNcmzN7prFOxKJiNNWIpEAcLhrvnr1KgBga2tL9sanT5+GbduoVCoyBqaXN7tvumWxS2bhm0wmOH/+PPb391Gv15FKpUT+NJlMhJi2t7cnhwomOLXbbTFFKRaL6Ha76PV6yOVySCQSCAaDeP3113Ht2jVsbW2JqYff78f6+roUdq/Xi1arJdKsdDottqK7u7tScCldAiBmKNVqFbVaDevr6+j1euh0Oshms2LNyYMTJwj1el2mCuFwWPba9BD3+/1IpVLw+/04ODjA0tKSZGczzEMpJcx9jrZJQrt7964cjujRTnkX88E1NDQ0nmWciBE3d9ButxvVanUuKIJdIPORO52OmIvYtg3TNMV1rFwuCymJY13qlMmcZpc+a87BtCyaewBAsVicuy99qDki9nq94k9N6ddwOMRgMJCdK4ug3+8X4w/TNKXjBYC1tTUhsTWbTbTbbfG1drvdAA6JWX6/H6+++qo8T6VSmUv0Irj3JUOc6V2rq6vw+/3Y3d2Vz4GxnZPJRBjqnADEYjHkcrnvyb8ej8di8bm7u4tqtSqFlYQ1fmaUkvn9ftGis8N2HAetVku65729PYmd3NzcxKVLl1AqlWQ8HolEMJ1OEQqF0Gg0sLW1pUfcGicGesStcVw8NTvoSCTibG5uIpfLYWdnRwoH7TFJIKpUKrBtG6urq8jn86jVanNdYSAQEAtNADBNE8PhENlsFrVaDbdu3ZLRr9/vl70wiwDHzCzS1OxSAkSWN7trx3FkDA88JLRlMhkAhxIxMp25Vz56v3Jfr9eLVCqFYDAIl8slnazL5RL9dqlUEmvTWCwmnTIJU4FAQIqdx+PBysoKDMPA5cuXhczFTvrg4EC8xlmoAYjUq1wuIxgMwu/3y1iZUiyStFj0Z0M1GF/Jz46PS6OWQCCAfr8v+36Xy4VeryeGM2TdNxoNDIdDWWUkk0lZK3Dd0W638Xd/93e6QGucGOgCrXFcPDUFOhqNOufPn0ehUJDdK7WzwWAQ5XIZ0WgUrVYLk8kEkUgEuVwOAGSkOxqNJP2JXSqNSigJYuwi4yQ3NjZkXMqOMhQKYTgcyv6UxZTWm9zZ0oDDNE2RC3W7Xdy6dQv9fh/xeFzY3SRU0UzEcRw0m02YpilSLTKfP/e5z+HXfu3XUC6XAUAIWDyEAIfThNOnT8thhppsAHMHB46U+XnM2ngCh907Dxyj0UiY2NSP8/HC4TAqlYqsFUiIC4VCaDabsCxL3l+73RZ/bz42ZVMMEKGxC38ep0+fxoULF5DL5XDp0iUZ9R8cHMiKgMS36XSKWCyGixcv6gKtcWKgC7TGcfG+FGil1DKA3weQAzAF8HnHcX5LKfWvAfwLAJWju37OcZw/PfqeXwHwGQATAP/KcZy/eKfnCAQCztramux7GdbALpdyIu4kuZ/m6JpRjyQt0YuaTlV+v1+sInkb8DBxalaT7Ha7Ze8aj8cxHo/x7W9/WwhVdBojcc3r9aJer4sGmJ08HbuAw068UqlgPB5Lt8yDR7/fRz6fx2QywYULF3D+/Hl84QtfkCIOPMyE5mP5/X6YpilWmI1GY47Qls1m4TiO+F9zb84JAfBw7z8rPaPXNrXo3OvTK/u7TUVCoRA8Hg/q9bqM3AeDAZLJpLz3Wc12PB7HcDhEvV7HdDqF3++X103Gdz6flzxry7KkSJMZzgSwt99+WxdojXfFB3H9OvoeXaA1joX3i8U9BvCLjuNcUkpFAHxLKfVXR3/3m47j/NvZOyulXgDwaQDnACwA+C9Kqeccx5n8Q09AcheLGotAp9MR6VG/38e9e/fmigxzk9llsZgcvXkZG8fjcYRCIZHvcITO4s/v5/6VXfLBwQFKpdJcxnSv10O73Zbs49kQCbLAuWcNBoPo9XqwLEtY5PTV5vdOp1M0Gg1Mp1PcuHEDBwcHomdmgSZTnKPpyWQio2uSrQBIZ9xsNsVmk12ny+WSDGe32y1drd/vl0kFTVIAzMVUzhqIMFKT3zuZTIT5HQgEZBJgWZYYqxC1Wg2GYQhLnaYpw+EQ/X4flmWh1WphbW1tbuTPJDKS7Tgp0dB4BDz265eGxuPCuxZox3GKAIpHX7eVUlZIwx0AACAASURBVDcALL7Dt/wEgC86jjMEcF8pdQfADwH4xjs9D6U/AJDP58WYZG9vTwocZUC5XA6tVgvValVGrv1+H61WC8899xwWFxfR6/XQbDZlLHvt2jX4fD5JqmInykLBAus4DorF4pzvNIsVd8gkolHqxI6cBZivjQEc1CAzfYuHAe5eOaIvl8soFAqIRqMy6o/H4xgMBlKQSUQjqz2RSEiO8/7+vmjDOV7OZDKyC6cjmNvtntu/cyrBwwlJcVwrAIdFv9FowOfzIRaLiZ6ZhLTBYIBWqyXEMr/fD8dxEAqFEA6H0e12MRgMRCJFORt/ruzSR6MRHjx4gGq1KuQ7BmQwlUznQWs8Kj6o65eGxuPAsWRWSqlVAC8D+DsAHwfw80qpnwbwFg5PqQ0c/vJfnPm2PXyffxBKqc8C+CxwyHLO5/Oi8XW5XKjVasJ6pqwoHo9LYpNlWZINTDkUYxRv374tHZ7L5cLdu3eFEc2Ou1qtYmlpCZlMRjpYRlhyJ0tDDrp2vfzyy7BtG/l8XrrOg4MDiU2kvpfj2NFoBADIZrPCRm+32zI69nq9qFQqwhCnn/b29jZOnTqFcrmMUqkkU4FEIjGXSU00m03UajXJd/Z4POJgxrE8AHk97MYty4JhGGi1WiJNox4agDC7+T2tVguJRAKTyQSZTAbBYFB2+NSE832TK0AJVbvdRjQaRTabxc7ODprNJhzHkc+LhxfTNOW1TqfTORtUy7Lk8KKhcVy8n9evo8eTa5iGxuPAIxdopZQB4I8A/ILjOC2l1O8A+DcAnKP//x8A/jmA7zdX/579jOM4nwfweQCIx+MOCxwAGQPzYt9sNiVGkl7ZlFml02lxGONIl3vlwWCAZrMJr9eLXC6H5eVluN1u3LhxQ1jD7IYdx5ljatObmmPjs2fPipUoSUscmbP4M8jDMAyRJ/F5bNtGOByW/XM4HJaiFQwGxdiETGx2vbO+2SSDxWIx/OiP/ija7Tbeeust2QUnEglMp1O0221hV3s8HmxsbCCZTOLSpUsSHMIdMD9zvn52tvV6XQohx95LS0uSHMZxM01Q2OEyOpRTDR46EokEMpmMuMRxJ86f59LSEtxuN1ZWVpBIJPDGG2/ANE2Uy2V5DB6A9Ihb47h4v69fwPw1TO+gNR4HHqlAK6W8OPzl/gPHcf4zADiOU5r5+/8A4CtHf9wDsDzz7UsACu/2HJVKBfV6fe7iy6JN600WE+qfe70ekskkQqEQdnd35ftYMNnVARADEDp+cc88u2slwYoaaJfLhXw+LzvvnZ0dYTuzGHLsPh6PkclkZOy7ubmJhYUFXL9+Hbdv3xYzlXg8LgXcMAzs7++LJIkjeRqYBINBIZ/RupRRkV/+8pdhmuZch9nr9aRwkgTm8XhQqVTkNdDYZTQaIZ/Py/oAgBx6+DzRaFS4ABxZt1ottFotMYthOAnDPLgKaDQaMjVYXV1FKpVCv99HvV5HsVhEMBhEMpkUBzHgcELw9a9/XTp5dviM3CyXy2g0GsLg19B4FHwQ1y8NjceBR2FxKwD/D4C64zi/MHN7/mi/A6XU/wLgI47jfFopdQ7Af8Lh3mYBwF8D2HgXklgbwNZ7fTMnFCkAz6r11ZN8b6ccx0m/+900/jHjg7h+HT2GvoY9nXhS7+2Rrl+P0kF/HMA/BXBVKXX56LbPAfgflVIv4XD8sw3gXwKA4zjXlFJfAnAdhwzKn3sEBuTWsyqZUUq9pd+bhsYTwwdx/QL0NeypxEl/byfCqOSkf0jvBfq9aWg8+3iW/y3o9/bk4HrSL0BDQ0NDQ0Pje3FSCvTnn/QLeIzQ701D49nHs/xvQb+3J4QTMeLW0NDQ0NDQmMdJ6aA1NDQ0NDQ0ZqALtIaGhoaGxgnEEy/QSqkfU0ptKaXuKKV++Um/nuNCKfUflVJlpdTbM7cllFJ/pZS6ffT/+NHtSin1fx691+8opf6bJ/fK3x1KqWWl1FeVUjeUUteUUv/z0e3PxPvT0Hiv0Nevk4tn4fr1RAu0UsoN4N8DeB3ACzjUJr7wJF/TD4DfA/Bj33XbLwP4a8dxNnBodMB/uK8D2Dj677MAfucDeo0/KJgE9DyAjwL4uaOfz7Py/jQ0fmDo69eJ//f91F+/nnQH/UMA7jiOc89xHBvAF3GYJvPUwHGcNwDUv+vmn8ChexGO/v/fzdz++84hLgKIKaXyH8wrPT4cxyk6jnPp6Os2ACYBPRPvT0PjPUJfv07wv+9n4fr1pAv0IoDdmT//g8kxTxmytBE8+n/m6Pan9v2q+SSgZ+79aWj8AHhWf9+fuX/fT+v160kX6EdOjnlG8FS+3+9OAnqnu36f2078+9PQ+AHxj+33/al8v0/z9etJF+inJjlGKfU5pdT//Yh3Hyml/uDo+/IAyke3H/v9KqUcpdSZ477e9wvfLwkIQImjn/f6/jQ0nmI8q7/vPqXULwLv7d+3Umr16Pr1yLHG7zee9uvXky7Q3wSwoZRaU0r5AHwawJ887idVSv2MUuqqUqqnlDpQSv2OUir2Tt/jOM6vOo7zs4/4FL8H4OrR1/8MwJePvv4TAD99xBb8KIAmRy0/CJRS/1Up9aiv6Qd5fAXgdwHccBznN2b+6k9w+L6Ax/j+NDROOJ7U9WtbKWUrpVLfdfvlo4K4+h6fogrgY0dfP87r17ZS6kfe20t9x8d/+q9fjuM80f8A/DiAWwDuAvjfPoDn+0UAJRwyF70AVgH8KQ7/sfn+ge/xvMPjfQFAEcDo/2fvzaMkvc7C7t9T+9pdvU4vs49GkrVYsiULL5A4ITbYMccOx1tiPkSAyAHHhBw4+VgSsDkhEI4hgTiYiMTBGAwYxw52IJ9lfMCODV4k2dosaUaz9TI902t1VVd37ff7432fq+rxjLp7pnu6evT8zqnT3W+99b73Vlfd5z47wQ7sR4ABgujAk+HP/vBcIYj6PEUgwO/dxHgdcNMVnvtr4Ed38L36zvD+jwPfDB9v3M752cMee/lxvdev8J5nCVpbvrfj2J3hMQcc3sK1Lrd+fYkgoOqavt/h2uqutH6G8/gHO/g+7fn1a1dvft0nCz3ACvD2S47nCMwcPxz+/T7gE8AfACXgR8Njf9Dxmh8EzgELwL/t/LB1ntvxIb0fmCDYnf58x3XuA/4WKIZflA/SsVFgkwIaeG34BfvX4VxmCKITdQFZBH5uC/d9ffiFXwZ+G/gCHZsB4IfDL/ES8FmC/qa7/j+2hz1u9Ee41vwb4Osdxz4A/DwdAhr4h8A3wjVsEnhfx/mpcH1bCNeArxMET126royGAu6nw797CbTSGWAa+HdANHwuGo5jHjgNvIdNCmjgh4AvA/8xHM9pAi3+h8KxzwL3d7z2inMLn3+h9TlCkFp1Knz+44RCutseu23ivt68muCD+cnOg865FeD/AK/rOPxmAiFdAP6w8/wwl+63gXcRfIB72Tja7zuBW4DvBn5BRF4SHm8B/4qgcfirwud/fIvzUkYI5jcO/ALwu8APAPcA3xXe9+hG9w1NZ58AfpZgt/ksz5u8EJG3EPTU/X5gCPi/BDtxwzCuD18BekTkJWE+9jsIBG4nFQJBVSAQaD8WfnchUBh6CXyuA8A/B9Y6Xxyayr8AfNA594Hw8EcI8otvIoiKfj2BAgPwz4A3hcfvBd66xTl9B8FmYAD4GEHa2ivCe/0A8MEw4OsF57aJ9fknCJSXvwuMESgZ/2WLY70uvNgE9CAw75xrXua5mfB55W+dc//LOdd2zq1dcu5bgc84577kgvzHX2DjaL/3O+fWnHOPAY8BdwE45x5xzn3FOdd0zp0F/ivBB+dqaAC/7JxrEHy4B4HfdM6VnXNPAU8BL93Efd8IPOWc+2T4Xv0WcKHjPu8GfsU593T4/L8H7haRQ1c5bsMwts5HCYTU64BnCDRaj3Pur51zT4Rr2OMEm2j9jjcIBOFNzrlWuB50RjjfRqBJ/6Jz7kEAEdlHUMzjJ51zFefcLIHG+87wNW8H/pNzbtI5twj8yhbnc8Y59z+ccy3gTwg2D7/knKs55x4C6gTCeqO5bbQ+v5vAijnlnKsRWDzfupvBbFei6wa0w8wDgyISu4yQHg2fVya5MmOdzzvnVkVkYYN7dwq4VQKzOiJyM/AbBDvODMH/5JENrnUlFsIPNzy/G77Y8fzaJu976fyciEx1XOcQ8Jsi8usdx4Rgl3ruKsduGMbW+CjwReAI8PuXPiki3wH8KnAHkACSwJ92vPYA8MdhgOwfEAitRvj8u4DnCCxpyiGCuJ2ZIP4KCJQ8XSvWrRtsfS24dK3COXel9euF5rbR+nwI+JSItDuOtYB9XLLJ2W1ebBr03wI1AtOsR0SyBDvDz3ccfiGNeIYgBF9fnybYjV4NHyLY/R53zvUQmI4vl4+33bzQfS+dn3T+TfDhf7dzrtDxSDvn/uY6jNswDMA5dw44Q2Dx+uRlTvkYQWTyAedcL/A7hN9x51zDOfd+59xtBO6rNxFo48r7CBSWj4UmdAi+9zVgsON73+Ocuz18fob1aUoHt2GaV+KKc2Pj9XkSeMMl61fKOddVwhleZALaObcMvB/4zxIUuY+HfpY/JQiw+ugmL/UJ4PtE5NVhesX7uXqhmicIdFgRkVuBH7vK62znff8cuFNE3hKafd5D4N9Wfgf4WRG5HUBEekXkbddp3IZhPM+PAH/fOVe5zHN5YNE5VxWR+4B/ok+IyN8TkTtD4VsiMHm3Ol7bAN4GZIGPikjEBSlHDwG/LiI9IhIRkWMioqbljwM/ISL7JWhAsZPNQ644NzZen38H+GV1yYnIkIh0ZYnWF5WABnDO/RqBtvgBgg/mVwl2VN8d+iM2c42ngPcS+HlngDJBlOGmXn8JP03w4SoTBHX9yVVc42q44n2dc/MEX85fI4hyvA14mHB+zrlPAf+BwDxWAp4ksEAYhnEdcc6dcs49fIWnfxz4JREpE/hhP97x3AiBICsRZGN8gUuCzEL/7fcTlML8sIhECLTsBPAtguCqTxC4ByFYRz5LEGPzKJfX6reLK85tE+vzbxJo3w+Fr/8KQYBa1yHOdX2ltq4njCwsEpiLz+z2eLab8Is5BbzLOfdXuz0ewzCMzbKX1+cXnQa9XYjI94lIJvRff4Agsf3s7o5q+xCR7xGRgogked4//ZVdHpZhGMaG3Cjrswnoq+fNBHVazxP0D32nu7HMEa8iSOSfB74PeMtl0s0MwzC6kRtifd4xE7eIfC+BrT8K/Dfn3K/uyI0MwzC2GVu/jG5gRwR0GBl4giCBfoqgjNw/ds59a9tvZhiGsY3Y+mV0Cztl4r4PeM45dzqMBPxjApODYRhGt2Prl9EV7FQlsXHWV5SZ4pIwdhF5AHgg/POeHRqHceMy75wb2u1BGDckG65fYGuYcW045zasnbFTAvpyN15nSw/ru2qN1z3nvDd2HSspauwUG65fYGuYsfPslIl7ivUl3/YTRNMZhmF0O7Z+GV3BTgnorwPHReRIWGrtnQSVWwzDMLodW7+MrmBHTNzOuaaI/AuCsm9R4MNh+TXDMIyuxtYvo1voilKf5r8xroJHnHP37vYgDANsDTO2zmaCxKySmGEYhmF0ISagDcMwDKMLMQFtGIZhGF2ICWjDMAzD6EJMQBuGYRhGF2IC2jAMwzC6EBPQhmEYhtGFmIA2DMMwjC7EBLRhGIZhdCEmoA3DMAyjCzEBbRiGYRhdiAlowzAMw+hCTEAbhmEYRhdiAtowDMMwuhAT0IZhGIbRhZiANgzDMIwuxAS0YRiGYXQhJqANwzAMowuJXcuLReQsUAZaQNM5d6+I9AN/AhwGzgJvd84tXdswDcMwth9bw4xuZjs06L/nnLvbOXdv+PfPAJ93zh0HPh/+bRiG0a3YGmZ0JTth4n4z8JHw948Ab9mBexiGYewUtoYZXcG1CmgHPCQij4jIA+Gxfc65GYDw5/DlXigiD4jIwyLy8DWOwTAM42qxNczoWq7JBw28xjl3XkSGgc+JyDObfaFz7kHgQQARcdc4DsMwjKvB1jCja7kmDdo5dz78OQt8CrgPuCgiowDhz9lrHaRhGMZOYGuY0c1ctYAWkayI5PV34PXAk8CngfvD0+4H/uxaB2kYhrHd2BpmdDvXYuLeB3xKRPQ6H3PO/X8i8nXg4yLyI8AE8LZrH6ZhGMa2Y2uY0dWIc7vvOjH/jXEVPNKRFmMYu4qtYcZWcc7JRudYJTHDMAzD6EJMQBuGYRhGF2IC2jAMwzC6EBPQhmEYhtGFmIA2DMMwjC7EBLRhGIZhdCEmoA3DMAyjCzEBbRiGYRhdiAlowzAMw+hCTEAbhmEYRhdiAtowDMMwuhAT0IZhGIbRhZiANgzDMIwuxAS0YRiGYXQhJqANwzAMowsxAW0YhmEYXYgJaMMwDMPoQkxAG4ZhGEYXYgLaMAzDMLqQDQW0iHxYRGZF5MmOY/0i8jkRORn+7AuPi4j8log8JyKPi8jLd3LwhmEYG2FrmLFX2YwG/XvA915y7GeAzzvnjgOfD/8GeANwPHw8AHxoe4ZpGIZx1fwetoYZe5ANBbRz7ovA4iWH3wx8JPz9I8BbOo7/vgv4ClAQkdHtGqxhGMZWsTXM2KtcrQ96n3NuBiD8ORweHwcmO86bCo99GyLygIg8LCIPX+UYDMMwrhZbw4yuJ7bN15PLHHOXO9E59yDwIICIXPYcwzCM64ytYUbXcLUa9EU1+4Q/Z8PjU8CBjvP2A+evfniGYRg7gq1hRtdztQL608D94e/3A3/WcfwHw0jIVwLLakYyDMPoImwNM7qeDU3cIvJHwGuBQRGZAn4R+FXg4yLyI8AE8Lbw9L8A3gg8B6wC/3QHxmwYhrFpbA0z9iri3O67Tsx/Y1wFjzjn7t3tQRgG2BpmbB3n3OXiHdZhlcQMwzAMowsxAW0YhmEYXYgJaMMwDMPoQkxAG4ZhGEYXYgLaMAzDMLoQE9CGYRiG0YWYgDYMwzCMLsQEtGEYhmF0ISagDcMwDKMLMQFtGIZhGF2ICWjDMAzD6EJMQBuGYRhGF2IC2jAMwzC6EBPQhmEYhtGFmIA2DMMwjC7EBLRhGIZhdCEmoA3DMAyjCzEBbRiGYRhdyIYCWkQ+LCKzIvJkx7H3ici0iHwzfLyx47mfFZHnRORZEfmenRq4YRjGZrA1zNirbEaD/j3gey9z/D865+4OH38BICK3Ae8Ebg9f89siEt2uwRqGYVwFv4etYcYeZEMB7Zz7IrC4yeu9Gfhj51zNOXcGeA647xrGZxiGcU3YGmbsVa7FB/0vROTx0HzUFx4bByY7zpkKj30bIvKAiDwsIg9fwxgMwzCuFlvDjK7magX0h4BjwN3ADPDr4XG5zLnuchdwzj3onLvXOXfvVY7BMAzjarE1zOh6rkpAO+cuOudazrk28Ls8bwKaAg50nLofOH9tQzQMw9hebA0z9gJXJaBFZLTjz38EaHTkp4F3ikhSRI4Ax4GvXdsQDcMwthdbw4y9QGyjE0Tkj4DXAoMiMgX8IvBaEbmbwPRzFng3gHPuKRH5OPAtoAm8xznX2pmhG4ZhbIytYcZeRZy7rHvl+g5CZPcHYew1HjHfn9Et2BpmbBXn3OXiHdZhlcQMwzAMowsxAW0YhmEYXYgJaMMwDMPoQkxAG4ZhGEYXYgLaMAzDMLoQE9CGYRiG0YWYgDYMwzCMLsQEtGEYhmF0ISagDcMwDKMLMQFtGIZhGF2ICWjDMAzD6EJMQBuGYRhGF2IC2jAMwzC6EBPQhmEYhtGFmIA2DMMwjC7EBLRhGIZhdCEmoA3DMAyjCzEBbRiGYRhdyIYCWkQOiMhficjTIvKUiPzL8Hi/iHxORE6GP/vC4yIivyUiz4nI4yLy8p2ehGEYxuWw9cvYy2xGg24CP+WcewnwSuA9InIb8DPA551zx4HPh38DvAE4Hj4eAD607aM2DMPYHLZ+GXuWDQW0c27GOfdo+HsZeBoYB94MfCQ87SPAW8Lf3wz8vgv4ClAQkdFtH7lhGMYG2Ppl7GW25IMWkcPAy4CvAvucczMQfAmA4fC0cWCy42VT4THDMIxdw9YvY68R2+yJIpID/ifwk865kohc8dTLHHOXud4DBCYkwzCMHWW716/wmraGGTvKpjRoEYkTfLj/0Dn3yfDwRTX9hD9nw+NTwIGOl+8Hzl96Tefcg865e51z917t4A3DMDZiJ9YvsDXM2Hk2E8UtwH8HnnbO/UbHU58G7g9/vx/4s47jPxhGQ74SWFZTkmEYxvXE1i9jLyPOXdZ68/wJIt8J/F/gCaAdHv45Aj/Ox4GDwATwNufcYviF+CDwvcAq8E+dcw9vcI8XHoRhfDuPmOZibMT1WL/C+9gaZmwJ59wV/SzKhgL6emAfbuMqMAFtdA22hhlbZTMC2iqJGYZhGEYXYgLaMAzDMLoQE9CGYRiG0YWYgDYMwzCMLsQEtGEYhmF0ISagDcMwDKMLMQFtGIZhGF2ICWjDMAzD6EJMQBuGYRhGF2IC2jAMwzC6EBPQhmEYhtGFmIA2DMMwjC7EBLRhGIZhdCEmoA3DMAyjCzEBbRiGYRhdiAlowzAMw+hCTEAbhmEYRhdiAtowDMMwuhAT0IZhGIbRhWwooEXkgIj8lYg8LSJPici/DI+/T0SmReSb4eONHa/5WRF5TkSeFZHv2ckJGIZhXAlbv4y9jDjnXvgEkVFg1Dn3qIjkgUeAtwBvB1accx+45PzbgD8C7gPGgL8EbnbOtV7gHi88CMP4dh5xzt2724MwupvrsX6Fr7M1zNgSzjnZ6JwNNWjn3Ixz7tHw9zLwNDD+Ai95M/DHzrmac+4M8BzBh90wDOO6YuuXsZfZkg9aRA4DLwO+Gh76FyLyuIh8WET6wmPjwGTHy6a4zBdCRB4QkYdF5OEtj9owDGOLbOf6FV7P1jBjR9m0gBaRHPA/gZ90zpWADwHHgLuBGeDX9dTLvPzbzD/OuQedc/eamdIwjJ1mu9cvsDXM2Hk2JaBFJE7w4f5D59wnAZxzF51zLedcG/hdnjcDTQEHOl6+Hzi/fUM2DMPYPLZ+GXuV2EYniIgA/x142jn3Gx3HR51zM+Gf/wh4Mvz908DHROQ3CIIsjgNf2+A2K8CzWxz7XmEQmN/tQewQuzm3Q7t0X2MPcZ3WL7A1bK+yW3Pb1Pq1oYAGXgP8P8ATIvLN8NjPAf9YRO4mMP+cBd4N4Jx7SkQ+DnwLaALv2SgCEnj2RjUTicjDNjfD2DWux/oFtobtSbp9bhumWV2XQXT5m3Qt2NwM48bnRv4u2Nx2D6skZhiGYRhdSLcI6Ad3ewA7iM3NMG58buTvgs1tl+gKE7dhGIZhGOvpFg3aMAzDMIwOTEAbhmEYRhey6wJaRL437BrznIj8zG6PZ6uEZQJnReTJjmP9IvI5ETkZ/uwLj4uI/FY418dF5OW7N/KNeYFOQDfE/AzjWrH1q3u5EdavXRXQIhIF/gvwBuA2gtzE23ZzTFfB7wHfe8mxnwE+75w7Dnw+/BuCeR4PHw8QlBvsZprATznnXgK8EnhP+P+5UeZnGFeNrV9d//3e8+vXbmvQ9wHPOedOO+fqwB8TdJPZMzjnvggsXnL4zcBHwt8/QtDeTo//vgv4ClAI2+F1JS/QCeiGmJ9hXCO2fnXx9/tGWL92W0BvunPMHmOflhEMfw6Hx/fsfC/pBHTDzc8wroIb9fN+w32/9+r6tdsCetOdY24Q9uR8L9MJ6IqnXuZY18/PMK6SF9vnfU/Ody+vX7stoPdM5xgR+TkR+W+bPL0hIn8Yvm4UmA2Pb3m+IuJE5Katjne7uFwnIOCimn6udX6GsYe5UT/vCRH5Kbi277eIHA7Xr830fNgR9vr6tdsC+uvAcRE5IiIJ4J0E3WR2FBH5IRF5QkRWReSCiHxIRAov9Brn3L93zv3oJm/xe8AT4e/3A38W/v5p4AfDaMFXAssdHXW2jIj8tYhsdkxXc/3LdgIimMf94e87Nj/D6HJ2a/06KyJ1ERm85Pg3Q4F4+BpvMQ+8Ovx9J9evsyLyD65tqC94/b2/fjnndvUBvBE4AZwCfv463O+ngIsEkYtx4DDwFwRftsQVXhN7gev9EUHD9wbBDuxHgAGC6MCT4c/+8FwhiPo8RSDA793EeB1w0xWe+2vgR3fwvfrO8P6PA98MH2/czvnZwx57+XG916/wnmcJWlu+t+PYneExBxzewrUut359iSCg6pq+3+Ha6q60fobz+Ac7+D7t+fVrV29+3ScLPQR9W99+yfEcgZnjh8O/3wd8AvgDoAT8aHjsDzpe84PAOWAB+LedH7bOczs+pPcDEwS705/vuM59wN8CxfCL8kE6NgpsUkADrw2/YP86nMsMQXSiLiCLwM9t4b6vD7/wy8BvA1+gYzMA/HD4JV4CPgsc2u3/rz3s8WJ4hGvNvwG+3nHsA8DP0yGggX8IfCNcwyaB93WcnwrXt4VwDfg6QfDUpevKaCjgfjr8u5dAK50BpoF/B0TD56LhOOaB08B72KSABn4I+DLwH8PxnCbQ4n8oHPsscH/Ha684t/D5F1qfIwSpVafC5z9OKKS77bHbJu7rzasJPpif7DzonFsB/g/wuo7DbyYQ0gXgDzvPD3Ppfht4F8EHuJeNo/2+E7gF+G7gF0TkJeHxFvCvCBqHvyp8/se3OC9lhGB+48AvAL8L/ABwD/Bd4X2PbnTf0HT2CeBnCXabz/K8yQsReQtBT93vB4aA/0uwEzcM4/rwFaBHRF4S5mO/g0DgdlIhEFQFAoH2Y+F3FwKFoZfA5zoA/HNgrfPFoan8C8AHnXMfCA9/hCC/+CaCqOjXEygwAP8MeFN4/F7grVuc03cQbAYGgI8RpK29IrzXDwAfDAO+XnBum1iff4JAefm7wBiBkvFftjjW68KLTUAPAvPOueZlnpsJn1f+1jn3v5xzbefc2iXnvhX4jHPuSy7If/wFNo72e79zWf3o3gAAIABJREFUbs059xjwGHAXgHPuEefcV5xzTefcWeC/EnxwroYG8MvOuQbBh3sQ+E3nXNk59xTwFPDSTdz3jcBTzrlPhu/VbwEXOu7zbuBXnHNPh8//e+BuETl0leM2DGPrfJRASL0OeIZAo/U45/7aOfdEuIY9TrCJ1u94g0AQ3uSca4XrQWeE820EmvQvOuceBBCRfQTFPH7SOVdxzs0SaLzvDF/zduA/OecmnXOLwK9scT5nnHP/wznXAv6EYPPwS865mnPuIaBOIKw3mttG6/O7CayYU865GoHF8627Gcx2JbpuQDvMPDAoIrHLCOnR8Hllkisz1vm8c25VRBY2uHengFslMKsjIjcDv0Gw48wQ/E8e2eBaV2Ih/HDD87vhix3Pr23yvpfOz4nIVMd1DgG/KSK/3nFMCHap565y7IZhbI2PAl8EjgC/f+mTIvIdwK8CdwAJIAn8acdrDwB/HAbI/gGB0GqEz78LeI7AkqYcIojbmQnir4BAydO1Yt26wdbXgkvXKpxzV1q/XmhuG63Ph4BPiUi741gL2Mclm5zd5sWmQf8tUCMwzXpEJEuwM/x8x+EX0ohnCELw9fVpgt3o1fAhgt3vcedcD4Hp+HL5eNvNC9330vlJ598EH/53O+cKHY+0c+5vrsO4DcMAnHPngDMEFq9PXuaUjxFEJh9wzvUCv0P4HXfONZxz73fO3UbgvnoTgTauvI9AYflYaEKH4HtfAwY7vvc9zrnbw+dnWJ+mdHAbpnklrjg3Nl6fJ4E3XLJ+pZxzXSWc4UUmoJ1zy8D7gf8sQZH7eOhn+VOCAKuPbvJSnwC+T0ReHaZXvJ+rF6p5gkCHFRG5Ffixq7zOdt73z4E7ReQtodnnPQT+beV3gJ8VkdsBRKRXRN52ncZtGMbz/Ajw951zlcs8lwcWnXNVEbkP+Cf6hIj8PRG5MxS+JQKTd6vjtQ3gbUAW+KiIRFyQcvQQ8Osi0iMiERE5JiJqWv448BMisl+CBhQ72TzkinNj4/X5d4BfVpeciAyJSFeWaH1RCWgA59yvEWiLHyD4YH6VYEf13aE/YjPXeAp4L4GfdwYoE0QZbur1l/DTBB+uMkFQ159cxTWuhive1zk3T/Dl/DWCKMfbgIcJ5+ec+xTwHwjMYyXgSQILhGEY1xHn3Cnn3MNXePrHgV8SkTKBH/bjHc+NEAiyEkE2xhe4JMgs9N9+P0EpzA+LSIRAy04A3yIIrvoEgXsQgnXkswQxNo9yea1+u7ji3DaxPv8mgfb9UPj6rxAEqHUd4lzXV2rresLIwiKBufjMbo9nuwm/mFPAu5xzf7Xb4zEMw9gse3l9ftFp0NuFiHyfiGRC//UHCBLbz+7uqLYPEfkeESmISJLn/dNf2eVhGYZhbMiNsj7vmICWPd7IfBO8maBO63mC/qHvdDeWOeJVBIn888D3AW+5TLqZYdyQvAjWrxudG2J93hETdxh4cIIgP2+KoErNP3bOfWvbb2YYhrGN2PpldAs7pUHv+UbmhmG8aLH1y+gKdqpQyeUaX6+LkhORB4AHwt/vicfjiAixWIx2O8gfj8ViNBoNfxyg3W7TarX0GlxqAWg219cf6UioJxKJ+NfoI5lM0m63icfjNJtNWq0WrVYLEVn32ng8jnPOj6VarSIiRCIRnHO0220/Xr223isej/trdp4fjUZpt9u02+2g7mo4vmw2S61W83PpnG80GvWv13vodfVaOm69l/6tr9dx6Xup99ZrJpNJf099Tn/Xaznn/P9ERPz71omO5dL3Uv+/es/O6+v7lEgkqNfr/jl9b3S8tVpt3jk3hGFsPxuuX7B+DSMop2sYm8Y5t2Fq7k4J6A0bX4fl4x4ESCaTbmBggIGBAZLJJLFYzAuolZUVL/BU0PX29tJqtYhEIpRKQXW6WCxGNBplZWWFZDJJsVikWq3S19dHq9VCNwAAiUTCC79EIsHa2hrRaJCLPzg4SKPRoFqtkkqlaDab9PX1EYlEyOfzLC8v+/vEYjHW1tYQEZLJJJVKhVarRS6XY2pqimazSS6XY2BggOHhYebm5njNa17Ds88+yzPPPEOpVCKTyRCJRIjFYqTTaY4ePUoul+PChQtMTk7SbrdpNBq0Wi0SiQSRSIR6vU6tVvOv001KKpXygr9T6Oo8RIR0Ok29XqdUKhGLxVhdXaWvrw+AWq3GwMAArVaLcrlMLBaj1WrRaDQYGhoin88zMzNDvV5nZWWFnp4eqtWqv3csFiOVShGNRolGo5RKJVKpFL29vUxPT1MoFGg2m/691w1Fs9n049D/X71eZ3BwkFQqRSQSYWBggGKxSCKR4Omnn2ZiYsIqlhk7xYbrF6xfw0Rkz/k3je5npwT0lhpfRyIRRkdHSSQSVKtVarUgXW1tbY1CocCdd97J0tISTz75JBBoWo1Gg5GREW655RZWV1c5c+YMN910EwsLC/T39zM5OUmj0eDWW2/lzJkz1Ot1qtUq9Xod5xzZbJZKpeI11kgkQiQSYWlpidnZWQYGBqhUKoyPj3PXXXexsLDA6uqqv//w8LDXmqPRKPF4nPn5ecrlMvPz89TrdTKZDABnzpxhenqaVqvF+fPn/fwAstksIsLi4iLNZpNTp04RiURoNBqkUilyuRwrKyuUy2VWVlZIJBKk02n2799Ps9lkfn4e5xzNZpNYLEZ/fz/lctkLQZ1XOp1GRHjZy17GN77xDer1OoVCgUgk4gWkc46ZmRmv+fb29nqBOzs7y/z8PM1m02vftVqNTCbjBboK1nQ6TTKZpL+/HxGhp6eHZrNJJpPh4sWL6zT/ZrNJoVBgdXWVarXKvn37yGazpFIpJiYmaDabzM7O8thjj/nNRSqV2saPqmF8G1tavwxjp9ipILEYQZDFdxPUNv068E/CBPJvI5PJuFe+8pWUSiWGh4cpFArcc889fOELX+DkyZOkUikGBgZIJBIsLS3RaDRYW1tjcHCQ1dVVlpaWKBQKxONxAIaGhjh58iSRSITx8XGWlpaIxWJeaNXrdd773vfy2c9+lomJCS5cuOCFSLPZXGdazWazxGIxKpUKY2NjLC8v09vbS09PD4uLi17Il8tlRMRr0bVajWw2S6PRYHl5maGhIYaGhrzJvt1urxOkmUzGC65oNEoikQACy8DKygr1ep3+/n7a7TbVapV0Ok0qlfKWAoC+vj4/z0wmw+zsrNei3/SmN/HFL36RSCTC3NwcuVyOcrm8zkXQbrfJZrOsrq4SjUap1+uICKlUinw+T7lcpqenx2v98/PzZLNZ0uk0xWKRlZUVUqkUPT09tNtt1tbWvADu6emhXC57C8DKyoqf++DgIOVymVqthnOO1dVV4vE4q6urZDIZ/39RU76IcP78+Uecc/du80fXMLa8foWvMQ3a2BKbMXHvWKESEXkj8J8IeoR+2Dn3y1c6N5fLuZe97GXU63Xq9TrNZpNGo+HNzsvLy8TjcXp7e2k2m9RqNa9JiYgXzM1mk+XlZS+kRIR8Pk+pVGJtbY2xsTGq1Spra2v09PR4IddoNBgcDBpZPfvss6RSKW666Sbm5+c5f/75jbOayXt6ekgkErTbbb9paLVaNJtNyuUyfX193ixdLBa59dZbSafT1Go1RIRqtcrFixeJxWIkk0mvnQ8NDVGv171GrxaFSqVCu90mnU577TWbzXoBl8vliEaj1Go179OtVqvEYjF6enrWuQESiQQiwvLyMmtra96Mre9jvV4H8H5otVao+VrvWS6Xyefz9PT0eGuEvu/FYpFIJOLfL32vDhw4wMzMDCsrK+vmVy6X6e3tpV6vs7a2hnOOwcFBRMRr6fV6ndXVVUZHR3HO8bWvfc0EtLFjbGX9Cs83AW1sid30QeOc+wvgLzZzbrvdJpfLeQFzyy23MDs7y5kzZ7w21Ww2mZub80Iml8tRr9epVCpks1mq1Sqve93r+PSnP+2Fo/pt1aRdq9VYW1sjkUgQi8UYHBwkGo0yPT3N8vIyBw8eJJvNkkwmOXv2LO12m7GxMVZXV70vd21tzft/VdtWgazm8nw+T7PZ9CbZaDTqNWsN0Orp6fECLJ1OE4lE/HVTqZQ3+yYSCY4fP843v/lNarUayWSSZDLJyMgIiUSC2dlZH/iVSqXIZDKsrq7S39/vzeZqLnfOcfLkSZLJJNFo1G8m4vG498trcFZnYFoulyORSLC4uEitViOfz9NutykWi/491c1DNBqlv7+feDxOsVik2Wx6E3ulUqFarRKNRmm1Wl7jVitBq9Xy11YNvK+vj4GBAdrtNhMTE+Tz+W8LDDSM7WYr65dh7BRdUeozl8s59SUDrK6usrq6ysjICCsrK953rFpzs9nk6NGjLCwsePP3wsICtVrNBzetrq6STCbJ5XJew+vUNKvVqhfs6XSalZUVGo2GNwnncjkGBwfp6enxZuxYLMby8jLz8/McOnSIwcFB5ufniUQiJJNJf60zZ86Qy+W8aVaDqfbt20cmk6FUKtFsNllcXPT3VjP10tIS8XicVCrFkSNHfEBaNBr1AisSiTA2Nuajzp977jn/Xg4NDVGtVnnyySd98Nvx48dpNBo+cE0Dr+LxuBfokUjEC+1Os7Jzzm84Wq0WlUrFn5tOpxkYGPACUzX3XC7HzMwM6XTaB/SVy2Wy2azXrjt94Gtra/7/dvvttzM3N8fKygqDg4OUSiXi8TiFQoFYLMbCwgJzc3OcO3fONGijazAN2tgqu2ri3gqDg4MuFoshImQyGfbv30+hUODChQucPn2aw4cPMzEx4c2u9XrdRzRrwJBqxYuLiz7CWk3Iql1Go1GfGpRKpahWqywuLhKPx6lWq7RaLdLpNI1Gg3e9611Uq1W++MUvUq/XGR4e9r7pZrPJwMCAN6kXi0UajQbNZpN4PE6lUmF0dNSbcUdHRzl37ty6183Pz3ttUrV69fuqxquCUaPBVZCrBWF5edmb6VOpFMlkkpmZGTKZDCdOnKCvr49qtYpzzgdzNRqNdWlUmvKk7gLdqLTbbXp7e+nr66Onp4fz58+TyWS8CX15eZl8Pu83TOVymXq97qPI1Yevror+/n4fOQ7Pp8Pl83lEhIsXL9Lb20uhUKBYLPqI9FgsRiQSYWZmhng87i0nJ06cMAFtdA0moI2tsmcEdDKZdIcPH16ngaVSKRKJBOfPn/cm0VqtRqvV8ubpu+66i2984xsAfNd3fRcnTpygWCzSarVYWFggmUySSqWYn59nZGSEI0eOMD09zfz8vN8AqIlVTdKVSoVMJkMikfCaq5qlk8kk+XzeB37ppkLNuJpWFIvFfHR2tVolk8kQj8e9Bl4ul6lWq5RKJQYGBnyktaIbAc2rHhgYoFQqEY1G12m1neZ9HYfeI5lMMjAwQLVaZWJiglwuRzKZ5DWveQ2NRoPFxUWq1SonT570AlVTyxKJhNesa7Uavb29JBIJJicnyefzfnMEgdas52mesroDNLBvcXHRWyY6NySX+rU1Gl03CxcvXvSR8LVajUQi4YPnnnnmGRPQRtdgAtrYKntGQGcyGXfXXXd57VQX77m5Ofr6+iiVSt78HY1GfeBXoVBg3759TExMUC6X/QKuKVXtdptMJkOlUuHIkSM+lUiFZDqdJhqN0mg0fOTxy1/+ch5//HEWFhZYWVnh0KFD1Ot1H8ylaVXFYpF9+/YBgVlaxx6JRHx6kgpMgJWVlXVz1vlocFangFYTs87jyJEjTE5OUq1WicfjXjNWM/WFCxfWadrRaJRMJuOtBhrkpcF0yWTSp2s9+eSTJJNJ/35mMhkGBwd55JFH6Onp8Zq2FlXRsXbmZKtQ1ZxtFbBatEU193a7zb59+1hYWADwBV/0up0FVjKZjPdt62Ypl8sxOTlJMplkamrKBLTRNZiANrbKrgaJbQVNrdEAMDVLDw4Oeq315MmTvqjF4OCgj4Senp5eVz0rl8vR39+Pc465uTmvcam5VHOYNRq81WpRKBRIpVLMzs7y6KOPsri4SC6X81HVPT09Pt2r0Whw4MAB+vr66OvrWxeZrZHc6meu1Wqk02nvB+/v72dpaYlisei1TBWe0WiUV7/61UxNTZFIJJibmyOdTgMwPT3ttdtqtcr8/Lz3catFQc34zWbTa7nNZpNSqeQ3GEePHvVR4KOjo5w/f95r+LFYjHq9Tjwe59FHH8U55/3hBw4c8BsCjcBWrbe/v99vNjT4rFKpkEgkGBoaolareU35xIkTPm5Ag/FWVlbI5/MUi0UqlQqDg4NcvHjRF0LReUxPT5PJZOjv76dYLO7Cp9QwDOP60jUCOhKJeP8y4It0aAGLY8eOMTU1RbVaZXp6mnQ67bVHFYCaR5vNZr15VAVzPB73lbvUXNzp99V8YvWjqkaqJtqXvvSlzM/P+xzsoaEhFhcX6enpIZ/Pk0wm/f3Pnj3rNVkRYWFhARHxvmr1A6vWrHNdW1uj0Wj4lKJOf61GaOs5R44cYWlpiXK5DDxfAjWfz1OtVtdp76ot6/u5srLC9PQ0i4uLXuvVEquVSoX+/n4qlQpra0HzqqWlJQC/CdBIbjXNqym+Xq/73zXqXjdIGo2vVeF0g6TX1/9Ts9n06XUaSLa4uEg2m/UpYjovwzCMG5muMHFns1l32223+XzkkZERFhYWfCEMLfm5vLzs05larRbZbJa77rqLubk5VldXvSDLZrO+SEg+n+fxxx+nUCj4ylTpdNprpJ0FNbQQRiQSYWhoyAd9AetKed55551+ozAwMOAFWSKRoFQq0W63mZub8/5iLQnabDbJZrNEo1GSySTOOQqFgs971mpfOlc1DesYKpWK/13N9yoUVWg556hUKl7oqmVBS6OmUinvW9cNgkaH6z3Uhz8wMOALj2j0tfq6AXp7e/04zp8/7zcai4uLNBoNAB+BrZsejajXOYyPj5NKpZibmyObzbJ//36++c1vUqlUvIDu3LA0Gg2OHTvGl770JTNxG12DmbiNrbJnTNyd9Z4hCAiq1Wq+xGWr1fJpSOqvjMVijIyMsLi4yOrqKuVy2WvFk5OTDA4O0m63WV5e9lHTeh81PafTacrlsverquBXwaPlLPWn+pjX1tZYXFz0wvn06dO0Wi3v202lUv6aqq1rtLlGQScSCb+p0HGov/bAgQM0m00qlYo3GWuAlRb9UDNzJpPxQWz5fJ65uTkf1a354M1m06eAqUke8DWzY7GYr//daDRIp9McP34c5xxra2s+aE3NzWry1jztZrNJMpn02n1nGU/AR3xrJLea0rWkqXPOR6E/+eSTXLx40eeG6/9dfer1ep1z56wMt2EYNz5dIaAh0OIuXLjgmyyoeTmTyXgzbi6Xwznng7XOnTvnhbWaZzOZDLfeeitra2ukUimWl5e9UFKtWE3AGv2sQk4DnzRlSIuItNttenp6AHytbRWSmqervnIVOseOHfOapAajJZNJ79fVIihDQ0NMT08DgUZ64sQJJiYmiEQiHDt2jKWlJS+41RytfuTx8XEajQbFYhERYXV11Ueta1GVTvO4ViBzznk/uPqBm80mY2NjPs1MNz0afa0bg3q9zqlTp2i1Wt5dUK/XyeVyxONxarUaBw4c8Klx6iLQyHcN9tLmJxcuXGB8fNxXbBseHvY+cY0t0EA1tW6oBm4YhnEj0xUm7nQ67cbHx31ObyaTYXFxkQMHDjA3N+dzebUsJeAFbC6X8wt+pVLxpS21kIb6fTVVSzVW9XumUilfcQzw1br0fq997Wv56le/6gWeCkpNtxoeHv42TV+Donp6erjpppsQEb785S/7oiU9PT2srKx4c7dW5ZqenqZWqzE4OEgkEuHIkSO8/OUv56mnnmJiYoK+vj6Wlpa8Nq9R2iLC2traus2FHtdI71gs5s3vavrWeWtBFi3solq4iFAqldZFoKs231nbXCPR1cKg70kymQTwRUeKxSLlcpl77rmH1772tfzN3/wN8XicJ554wv9fO6vAaZqc1hzvbOxx4cIFM3EbXYOZuI2tsmdM3M45SqWSTynSCODl5WUAH2Gsv+umIpvNAnjTr5pWtfhGX18f5XKZcrnM+Pi4LycJQYEMwJe1VO1UtXYVOmqGVjOu+lIB3/2qsze0RmS3221WV1eZmJjwBTjm5+d90NvNN99MtVplZWWFdDpNLBbz6Vlaj/r8+fNcvHjRR2GrJUC1T9XetY/zsWPHmJiY8Nq/vme6wdGgODXfp1IpPx4NUtOSoOqn1uIt6grQ5zUYbXZ21ge86dydc37M+j7eddddfO1rX/Oaem9vr68Mlk6n10WFqw++Wq2STCZ9wJtq84ZhGC8GukKDTqVS7hWveIVPLdLFOBKJ+Fzcubk5L0RVW1MzqP7UXs61Wo3Z2VlfXCSVSvlSkmoKTiQSvhlEb28vAwMD1Ot18vm893+r6VY7VWlP6NHRUZ577jkfaBaLxSiXy76phwoVLSfa19fnzcPqV2232wwMDHiteGFhwVcL64yKVsEXi8U4ePAglUqFhYUFLwQ19QoCF4Ca3hcWFrh48aIfX7vdZv/+/b6K2Orqqtf4VRAmk0n6+vqYmZlheHjYa8uDg4M0m01mZmbI5/M+F7tcLvuIbd089PT0sLq66gPMxsbGePrpp31hmGw26+MDZmdnKRQKOOe47bbbiEajPPXUUz6NTK+tm6POimKWB210E6ZBG1tlz2jQkUjE+1G1RWK1WqVQKPgGGZriA3gNc//+/f53jfbWvOCenh4f2Vwqlfjf//t/87a3vY1Go+HTjbSmtGrijUaDpaUl72/NZrPen9tpIge8INN+zJ2au6YPaXqTplZlMhm/wVCNNZPJ0NfX54twaNqXBnWl02nf2rJcLrNv3z76+vqYnp4mHo+vK32q4z969CjZbNYHt/X29lKr1XzzCt2cpFIp+vr6WF1d9XW7taGHNsHo7e3l2LFjfPnLX/aBXSsrK8zNzXk3gvbY1pxnjWK/5557uOmmmzh9+jSpVIoDBw54i8Ly8jLLy8s+TmBychJ4PuVO4wm0drpaAPL5vI+aNwzDuJHpCg06k8m417/+9UxPT3P69GmfB9tutykUChw5coTz58/7SGYtLnLkyBEfWKYBWLVajeHhYZaWlmg2mywtLTEwMEA+n/dBSp0FN7TtpC762u5RTenLy8u+W5WmL2kHLK0jrSZ2DZJSganmdNU4NW2rs8pYPB6n0Wj40p+aCjU6Ouo7UWm9cA2Qe+lLX8rk5CTnzp3z74dGY4uI9/1C4AZQ60M6nV7XpaqzhOnKyor/WyuZqR9dK7DF43HvdlA/cavVYmxsbF0jDW0jqe9hPB73GyEdqxZjgWBDoxXPNAocno8y1/eyVCp5032xWDQN2ugaTIM2tsqeKfUZj8ddX1+f14Y7G1zoAt9ZAEOFWj6fZ2xsDHi+2EWxWPQ5vbq4qw9bG1FoTetMJrMulajTXK15wtoPWU3NS0tLXltWIfeqV72KyclJpqamfHCTPq9BaSrA9+/fD0CxWPQpYGrCLhQK3l+shUVUM1V/tc5reXnZV2DTHO5CoUAulyMWi3nNXq0T8Xjca8CdgW6VSoXx8XHi8ThLS0u+BaRGt2tameZnZ7NZUqkUFy9e9NYIrXimXcQAHxAXi8UYHx9ncnKSWq3mO2ipjz4ej3srhUana1nQzuYmpVLJuwOi0Shzc3MmoI2uwQS0sVX2lIAeHh72ZSfVpJxMJpmfn2dsbIxoNMrCwoKv/zw8PMz58+d9e8RWq8Xw8LCPVta+wWqy1S5JEGjmQ0NDZDIZJicnfeCXBlV1an0q/Or1uu/XrILvXe96F5/5zGe8gIfng860CIj2h9ZGGlpYRH3s7Xbb+5ALhYKPXJ+dnSWRSDAyMuIjukulEhMTEywvL1MoFHybRs1vPnz4MFNTU1QqFT9uwJu1dezRaNS30xwbG+Ps2bM+91zf36mpKQ4fPszS0pKPdE8mk9x8882MjY3xyCOP+E2NRs2rC0DbdapFYW1tzbeLLJfLfiN29OhRkskks7OzPqULnq/Rrdq0fkZ1k5ZKpTh9+rQJaKNrMAFtbJXNCOjIRidcD1SDTCQSXgvUSGLV7C5evMjw8PC6GtPRaNSbr1Wgqj9YG0ikUile8YpXAHj/rraE1B7RmuerGqwGkWllLzU1a+CWpic99NBDvjuTmnRVa1crAOD96RrQpoJGtUQN0CqVSpw5c4Z6ve610vn5eeLxOOfPn/flSHUeAD09PRw6dIhbb70VEWFkZISbb77Z++tjsZjXhFWr1QYg1WqVs2fPerO4lvHUyPLFxUXv41Z/9czMDN/4xjd8xLv661utFktLS16odkZb79u3z/v5tZSqHp+cnGRhYcF3EEskEv7c0dFRb+bW6HMIguEMwzBudLpCg+7r63M33XQTs7OzPs1IF2PtNNVsNrn55pu5+eab+cu//EtvHtWSkmqCVi1VU4hGRkZYXV31vtRMJuMDjebn5722ViqVvEl2YWFhnR9ci4Oopq6mXhHxLR811Um1c9Vu77jjDmZmZlhbW/PBY53+Yi0HqnnL+XyepaUlb9q9NCcY8PnGlUqFdDrNyMiID6aCoCzpuXPnfLqVpmIVCgVv2lfrwMLCgg8G0/dco8x1s6PCs9MNoC0kFW2UoT70gYEBLly44MucqsWgWCyytrbmA/k0sExN7xot39l7u9VqEY/HWVtb88VgvvWtb5kGbXQNpkEbW2XPRHFrhLH6adVfrD5NLQM6MTHBqVOn6O3tpbe311cZq9fr3qzb2WpRa1WPjY2xtLTkr6lCVwWAFgypVCqsrq7681SjUw1UBZ4GfKnQFhEGBgZ8pyY1kQ8NDfnoZNVS5+fnvclctfajR4/S09PjA94ikQjLy8s+FWp0dNRvWnR8+XzepyipMIMgIG1hYYHBwUEuXLjA8vIyPT099PX1kUgk6OnpYX5+3qcvRSIR30pTRBgeHmb//v0+cE3beK6srPj3R5t9qGm92WxaORRTAAAgAElEQVQyMjJCOp1mYWHB51nrvPv6+ti3bx8PP/yw19I18Esj6TVqW6PaT58+Tblc9vnSuqnRcwzDMG50rkmDFpGzQBloAU3n3L0i0g/8CXAYOAu83Tm39ELXyefz7vbbb/fCS0txDgwM+EYZWjRE05YOHjxIb28vlUqFubk58vm8r0UNeK1MtcHh4WFqtRqZTIaRkRFOnjzJPffcw4kTJ5iZmQHw6VcqxDSgLBKJ+Hzmcrnsa2QvLy/7Ep9agWtwcJBarebN5NVqlVtuuYX5+XkmJiZYWVnxgWeaMz0+Pk673fbVyDrrXusYVHsdGRnx74+W+axWq/T29vo2mouLi14zVXOzasQacKcVutTcPjs76zc22kJSy6/29/fT29vLhQsXfLMOFara31kD26rVKmNjYywvL/t7a0pXrVajUqmQz+c5cOCAF9idFgRNL1M/v/q0tWmGWgBMgza2g+1aw0yDNrbKjgeJhR/ue51z8x3Hfg1YdM79qoj8DNDnnPt/X+g6fX197tChQywvL3uTqEZI12o17rnnHk6ePElvb68XwJFIhP3791MqlXzqTr1ep1QqeVNuJBLhZS97GaVSiVOnTvmFfnR01HdH0nSswcFB5ubmvIl1YWGBVqvl/Z3lcpnDhw9z7tw5hoeHvQBWH7aWGtVrq9BvNpvccccdLCwseLMz4Ds0aTBbs9mkr6/PB2T19/d7f60GSqnAUm1Wc4M1T1jzq7UYiwZp1Wo1stksPT09vsiL9q9WU70Kvlwu5/37enxubo5Go8HIyIgvxqIFUlTAq49YzeKq9er/RlOptJGI1ujWwiPAungAtVwsLS2xtrbmLStq2Th16pQJaOOa2a41zAS0sVV2K0jszcBHwt8/Arxloxd0CiE1mapwSCQSPgdam2T09/czMDDgGz6oyXhpaYn+/n6/yB88eJC/83f+zrpgrZmZGc6ePcsTTzzBE0884Zs0aHCTdrXqFJyjo6Pk83mKxeK3+U07tVONCtdKWIODg7z0pS9lfHycfD7vz1MT7x133OGDyjr7Jmuq0qXvkY5To6DVPKzz0zQm5xz9/f3+PUwmk948rOlWrVaLwcFBf091CSwsLHh/dzQaXRdNDXjhqz5lwBeH6dTYq9Wq7ymt6XFaDKVYLFIsFv0mQy0bnZXetG+1fhbUVK7C3DB2kC2vYYaxE1yrBn0GWAIc8F+dcw+KSNE5V+g4Z8k513eZ1z4APAAQj8fvueWWW0gmkxSLRe9XVeHb19fnNUTAByypj7qzMIa2cdT+yoVCgYWFBd/QQn3Qqn1qClY8Hmd2dpaDBw/6VJ7+/n7OnDnjg6Ly+bzPEdZ7rK6uev+3moy1trWWLdWiKJeOWYWtvi6RSPjUsGazSaFQWOfbVu1Zy2AuLi763G6dy8DAgG/JWS6XvSXBOeetAdFo1HfJgiCtbHR01GvF2qxkdHTU++7VD93b2+tzlzU9TTdEWhpV+3Z3ttjUDZiWR1Wtv9FokM1m/caqVCoxMjJC+Lnwm6b5+Xmq1aofh5X6NLaD7VrDgHuuy4CNG4brEST2GufceREZBj4nIs9s9oXOuQeBByGoxa1pTL29vfT395NOp5mYmPBpP729vT6QSbU9rVsdXsMXMYlGo74ZRl9fH88884wPalKTqxYoUTMs4CuMaSGO5557zjd9UC1S607rhkELoWh9a8Cb5mu1GnfeeSfRaJSnn36a3t5eL2TUj6zX6CwIor2gO4VdZ5CUNpxQ07Vq8lqNq1wuUygUvJm4UChQLpe95q9zisVivvpXuVxmZWWF4eFh0uk0d999t59/IpHwAnRqaopsNks6nfa1ulWwqwDW/8fKygqHDh1iZGSEU6dOeYuH5kkPDAwQiUQ4f/486XSa/v5+IChKMjw8zMLCwjrLgkZ+d0aPG8Y1si1rmJm4jZ3gmgS0c+58+HNWRD4F3AdcFJFR59yMiIwCs5u9nlbg0sCn/fv3k8/nefrpp1lcXPTnqYCrVCokk0kf2AVBXvAdd9zBF77wBe+TjsfjjIyM+M5QnYJNG1toje1iscjc3JwvEKJau2rGCwsLXrPtDNbqTIVaWlryWuBjjz1GoeA34zQaDd98QvOnAR8RnUwm/SZF20Oqr1s7Smn0umrKauJXTTmfz3uzuaY26QZGf2phFk2P0mpl2pRiamrKj0srnuVyOfbt28fi4uK6bli6USoUCj4gLBaL+Q5ck5OT9Pf3k81mWV5eZmRkhMXFRc6fP08qlfIbo6WlJVqtFvv27fObksXFRf+/US1d/fiGca1s9xpmGNvJVQtoEckCEedcOfz99cAvAZ8G7gd+Nfz5ZxtdKx6PMzo6yn333cfp06dZWlri7Nmz63ofazMMNRlr84Xp6WlExJf+1LxeNbGqSVqLhORyOe/3Vc1TTa1Hjhxhenqa/fv3e9Otatu1Ws13iqpUKj7IKp/Pe2E6PDzs84Dh+XKX/f39PPvss7RaLdbW1iiVShw+fNgHW/X09Hjhm81mfblSFfYAk5OTxGIxDh8+zPLyMsVi0Wu3kUjE50AfOnTI++u1DGg2m+XChQs+j1tN8Bp01tnAY35+3pcJTafT3hcPgWlc/dW5XM6nxqng1+IqEGxEjh49SiwW48SJE75PdKvV4vTp014L1k2Wlh/VKmbtdtuPOZfLsbS0xNDQ0LrNlGFcC9u5hhnGTnDVPmgROQp8KvwzBnzMOffLIjIAfBw4CEwAb3POLV7hMkAQxf2GN7yBarXK3Nwcq6ur3r+5uLjoA4hUK1OhogJWA5Y0ClgFubY4VAGmKUaaKqUmY72fCvrOOuAQBEHVajXfJlHLay4uLnLw4EEvpLSeuPqca7WaD6CKRCKUSiU/D+3/PDg4yKlTp9ZpnMVi0adjqdnaOcfhw4f9eFXA6XugEeeZTIbBwUGKxSInT54Eng8w6+npoVqtsra2RqvV8vnkmj6lDSnS6TTJZJJ6ve4jr9UXvLKy4i0Yqv1qrnQ2myWRSFAul702nslkfB/soaEhv0kBfHqYNiLRNC8tbAL4+uG6uSqVSgCcOHHCfNDGNbGda5iZuI2tsqM+aOfcaeCuyxxfAL57i9fywUIzMzP09/d7gaaaYr1e9xWtOltK5nI5X2ayWq16rXJqaoozZ86wb98+7+vV9Kv+/n5mZ2e94NMCJBoZHYvFvDaoEdOan1wsFhkeHvYBUWNjY5TLZQBfCU1LlWrAlUZCq/83lUpx9OhRrwnncjmazSb5fN6biLUHtgaaaSS0CjiNEq9UKt40XKvVWF5e9ibgbDZLpVLxfa+1H7MKW3UPHDhwwAeUdfqn1aS8srLic9LVFJ9KpdaV+dT+2ePj474kqI5VTd66YdGKYdpERP9n6s/XqG3dOKmmr24NK1RibAfbuYYZxk7QFZXEGo0G8/PzjI+P+9aHWooymUz6HFg1F6ugKpfLPoBL/cOaRqQ+YA2Y6u/vZ3p62vcqTqfTPif4JS95CcVikenpaR/EpYL0He94B5/5zGc4fvw4KysrjIyMeEGyurrKyZMnfaCX9jbWjlK5XI7FxUWvMbdaLV7+8pd7f7oKzs7rAV4AqUlZc5B1A6JRzQsLC37jolXTAL/p0FriS0tL3p/emZalAWnqFtD0MrVkHDhwwAfkqZ9bi5w0m03vm9Y85XK5zDPPPOPfe7VC6EZI08s0Wt2Ffbwh0PKXl5cplUrecnD48GEuXLjgy7mOjo76/7thGMaNTlcIaE0peu6553yhi0Qi4f2f2WyWxcVFVldXfSESgHw+74ObtPwlBBG/mrN89OhRr2VqBLFWvOrt7fXlNzXIK5PJ0N/fT7lcRkT43Oc+503n/f39PsVI05dqtZoXeKplq49c/dHVapVqteqDpESEiYkJbrnlFjKZDGfOnPE+77m5Od9tCvBma41gV5O/CuHjx4+vi3DWzlqFQoH5+XnfHESvpedqupJGo6vGr7nP6XSamZkZXz51fHzc/79UwGpUuPqze3p6KBQKLC0tkc/nfXtMjaDXSmH6fmk/bI0VAHwd9KGhIUqlEo1Gw1ePm5mZoV6v+3aihmEYNzJd0SwjmUy62267zQcAqQaqwmNpacn7jHO5HLlczkc/ZzIZBgYGSCaTPProo75ilaZntVotjh07BuAXe9UcNXd6dXXVm1XVf60anmqsIuKDlNSPrTW5L1y4QCKR8KZi9YM3Gg1vDu7s+6zpZOl0mmKxSKvVotFo0NfX5xtxrK2t0d/f7zX62dlZX61MRFhbW/MCUQuW6L2q1aoXmGraVt+ypl1FIhFmZ2f9piUWi/lgL9ViR0dH/fwzmYxvANLT0+N90VrXXBt86P9ON0HaqEPz2uPxOKVSyZvZC4UCq6urLC8vk06nfVMT3UToe6lpXFoe9amnnjIftNE1mA/a2Co7Xupzu0ilUu7IkSNei9LI6ZWVFW655Ra+/vWvs3//fq/xxWIxBgcHOXr0KFNTU75u9zPPPOM18Lm5Oe/rjMfjvqrXO97xDt73vvf5SOBareajmFWAFovFdVHcgNfQU6kUY2NjXrhpK8lMJuP9scvLy+u0V9XMAV8oRQuMxGIx3zNatfP5+Xlf2KSzFWa5XPYm6na77aPW1cer5U41WlujuNW/32w2GRoaolgsMjAwwNramk9R09xk1bwXFxe9gMxkMiSTSdbW1nzAXrFYpNForNPCAd/7OZFI+E1DZzCf+vbVtK6VwjRaX33r9Xp9XctR3bxpYJ8FiRndhAloY6vsmW5WKhzg+XxjLbN58uTJdf1/C4UCa2trvjGFRlwXi0UAr7FpcJJWFltZWeHChQs89NBDPle4t7eXZ599lttuu83Xhi6Xy6RSKS8kRcQLadW41cStwVzpdNr3Lm61Wjz99NO+VKb6mXVuuvlQk7QKa003cs7516qQ0tKX0WjUB73pBkKD3w4dOsRjjz3mu3mpZq4mag2U06A3LYSi6U2Ab76h76Vq4hr5rRaEzqIk2WzWbwrUEqFR2nfffTdra2s+RUzjBHQTpaZu3cRoMw1N8VLhDXjLQDKZ9NYTwzCMG5mu0KCTyaQrFArcfvvtAD5VaXl5eV0QlWpSagrWiG6tD+2cWxe4BIHwz2azPvdYU57e+ta38vDDDzMzM8Ott97KwYMH+fM//3MymQxzc3P+3qpp6/1V41V/qpqsNR1IzbParKJSqZBKpRgcHGRlZcULZA10U3+zataqtc/Nzflcaw3wisVijI6O+jxsNUtrdPTIyAgi4jVTCKwRKpSPHj3qx71v3z5WVlZ8TrRqsKVS6dui2rU0Z7vd5sCBA7TbbWZnZ715ulKprKtlnkqlyOfzaIeycrnMLbfcwrf+f/beLEaSO70T+0VmRuQVed+ZdfZBdjePYY/moqTRMXqxpAFkC5BgP3hlYeHxg1aGgX3Y9b6sHwXDliFjgYXG8GIlwNqxAAs7GmkhQZY0IjQiRxTJ7iHZza6u6jqz8j4iMiMi7/BD1e9jJjXe7qLZdDUVH0BMd3ZWZmRmTX7/7/f9jnv3AABf+9rXAAB//Md/LK5p9FnnpB4Oh5FIJMRJjJ8FuQIexO3VZSpvgvbqovXMQNyaprm3bt1CLpcTGLXT6Qgrm82LEig25mg0Kpaao9EIV65cET3w/v4+TNMUiJTkMrKUs9mswNIvvfQSgDOCEgCcnJyIDGs8HiOZTKLVakHTNASDQWEez+dzaVKqqsIwDMlf5vRKeJdGG9zLplIpIXPRrpRJXSRtAWe2l7FYDLPZTCBun88n8DgAsRAl45s772g0ikAggFarhWQyiVwuh1qtBr/fLzt0StZIDuP18e8AcOvWLdTrdTmcjMdjrK2tYXd3VyB+TtOKosj7zkk5nU4LMpBIJFCtVuVAQJtV7u6BM/IfoXA6ihFu53t2584dr0F7dWnKa9BeXbSeGYibu8nj42MEg0E0Go0VLTLhZMLDjJo8ODiQx6B/djAYhGVZcvtLL72EUCiEo6MjABB2MafPWCyGer2OwWAghCiywjlFcs/LKY6w+pUrV3Dv3j2sra3JlOn3+xEOh7G9vS3pWaPRCJVKBbdu3UK324Wqqjg5ORH/bcq+uCemzIgwPLXNmqYhHA7LBE7omsYjZHyfnJxA13Vsb2+j2WyKxOvg4EAOFzQV4fvFaZ2Q+fHxscjHTk5OpInTLpV7egD4yle+gp2dHXkuHqYIwfNgNR6P0Ww2hcm9WCxkSg4Gg/KZJZNJcUPjfpp7dlVVhR3ulVdeefVZrksxQZPFTbtI27ZFl8vJKp/PQ9M0sfGk1IcmH4ZhwLZt2alSckW5ExnJ4/FYmOBra2vo9/vY29tDtVqVyfT8mgQONgxDmgabBffIhNdpKMLM6Rs3buDevXsYjUaIxWLirlWr1ZBIJGR3zddgGIZYXhLWJWMbgDQ9ys8syxJLTjY3Ttg0ZKFX9rIZCP+t2WxCURQ5rPAxmBoVDoeRzWaRy+UExqdNKA8RhOife+45GIYhEZatVguNRkPeI14/kQ+y1qfTKdLpNGzbRjqdRigUQqvVWoGzuccfjUbCGD/nAXgTtFeXprwJ2quL1jMzQRO29fl84ggGfGhRSdYwJ9p4PC4+19zVkrAVDAahaRqy2SxCoZCYWpAYBQDD4VCm3VgsJjIuwrd8DO6xB4PBCqxN4xReHx+X9p+LxQJ3794VBjknTgDI5XLyPGR9k9BGx7Rlb2vuiSuVCgzDkCma3ttsnHz/kskkotGoQN6cXvlnenuzYRM+tyxLDgSEuDudDkzTRKFQQDweFwkWDUuIYtRqNbE3tSxLmOZsxtzD87PkAYSQ+fb2Nvb29iT/masFSuLoksbP8TIcKr3yyiuvnnZdmgn6xRdfhKZpODo6gm3b4iedzWbFFEPXdWE+m6YpjZpyJk6zTEYiO5iGJ8lkEqFQCH/0R3+Er3/969jb2xNjDzYLmnWQQR2JRCQKsdVqCRuZ90ulUvJ33kYyGwAhePX7fYFoASCdTgvDnAeS2WyGUqkkfta9Xg+DwQC6rstjUrZE845loxRFUZBIJFZcxcj41jQNmUxGDiybm5vI5/P4sz/7M1iWJdA2ABwdHYkWOxQKIZfLQVVVsS7l+z+bzWDbNiKRyMohZRniZkMm87tSqciOmuQ5TvN0KwuFQuJ5Pp1O5TauHRRF8SZory5VeRO0VxetZ4YkpqqqWygUUKlUcHx8DODMrYqSKYYx5HI52ZkSOiURiTKcZZ2wz+dDKpWSZkJfbzZyBjkkk0kMh0NhIXOq5E46n8/DNE10Oh1pgD6fD4eHh2JgEg6HRffLibvX62E4HMrj8To5JVJTzOmXRWetxWIB27Zlt0tYmSQq0zThOA4SiYRIwngYGQ6HyGazaDQaAv3ncjlcvXoVmqbhwYMH6Ha7YmhycnICRVEksCKbzYokint/AH8PsibkzAYdj8dX7EBJ4qPbGCVjqqoiFothMpkIfM3XFwqFhBW+/PtpmqbEcd69e9dr0F5dmvIatFcXrWcG4vb5fHjhhRdg27Y0VKY6sRFwcmWD5c/R65pTL9m+m5ubSKVSuHv3LgzDgGVZCIfDAptubm6i2WyiWCzKHnbZIIUMaMMwhFC2ubmJQCCAw8ND2SEzcSsej0NVVaytrcmeNhaLSdPb2tpCu91GNBqF67pCliL5CYBIxxhkUa/XBXLmLrtcLktz293dxfr6Omq1GgDIDveXf/mX8e1vfxuKomBtbQ1vvfUWNE1Dq9VCs9lcQQi4BiCJazlcg3t+aq6ZN80dNCVss9kMhUJBrD9pYMJDVjgchuM4omHmzns4HMphBzgzjXFdV9YZhPMdx0EgEEClUpHr8Morr7z6rNelaNAAsLW1hbffflv8l9ks6TutKIoQnKjXXW6C3H3SC/vOnTvChl7OKSZLm1IfTnts/tx1smGTKQ1AwjYSiYRMpdxJs3HV63VpXpxEGcnIvzO2kjaetm0jGo0il8uhXC5jd3cX+/v7SKVSiEaj0kRHoxFM05R9OIls6XQayWQS7777LnK5HP7gD/4AjUZDJmQS5dgULcsSuRIZ1deuXRMdOQCZbGlmQuiemmfmWFcqFbz11lsiL2u1WkgkEkgmk/IZua6LRCIhq4T19XU0Gg1xOOt2u0LOYzPmz1G+lk6nUavVkEwmvR20V1559Q+iLgXEHY/H3VKphEgkgul0im63K3Az/bOTySTi8Tgmk8mKj/XR0ZHAowBkul6OkVyOReR96NpFqDsQCOD4+FgaLrXM3G8nEglYloVYLIZarSYEMk6zJEjFYjEUCgXZK7PBEcalPpr6auqHQ6GQMMmJIMRiMcmaJsN7WQrGxgycEe2Oj49lwux0OshkMtB1He12G5qmwbIsOI4jUHwwGJTdbiwWQzKZlEANktUAiP5Y0zQYhiHOaqFQCPl8HvV6XVYLNBnRNG3F/pRIwunp6cqhaTgcCmOfUDoDMTiFRyIROZgBZ4en3d1dD+L26tKUB3F7ddF6ZiBuAMjn82g2m8Ju5hd6sVjEbDYTKJcpTI7joN/vy+4VgDRpwrd+v1+kT2Qgc+qkVIsNYTKZIJvNwjRN+Hw+SVPi9E4onRMo9+PT6VTcw1j1el0kVCR1kcnMPGPqmOlZzZ/n1ErrUU3TxOqUr4NTPtO9uMcGAMMwkEgkUC6XVxq6pmmIx+OS+8w9OA8wdDMDIDD3+vo6LMsSOH46nULXdYTDYbTbbTF/IZKwbI3KqE3++2AwEP3yfD4XHXUoFBL3MH5WPBCRfU6NNoMzSLTzyiuvvPos16WZoK9cuSL2mpyk5vO5WFIua3Gp/WXDIiTKmEPgQ/ZyMBjE+vo62u22wNaWZYmtJhs0J3VOi2wOy2SoaDQKv98vhDLmVsdiMUyn0xUInrpo6pAXiwXK5bJM4IzPpG+467oy8XY6HYH5Q6EQtra2cHh4KH7dJMExVarX6yESiQjpipMrNcQAhNxGWRoPAgCEjAZAWO18X/n+cH3ARr1YLBAMBuUAkM1mZU1AghsJYzwIDIdDcUbjZM0QEX62XDkAWAlPee6553Dv3j25voODA2+C9urSlDdBe3XRemYmaGY067qOWq0mzSmdTos2lsUvdFVVZYrlhMiQCELYnKSbzaY4WhFa7ff7GI/HWF9fl0mZU2AulxMXK13XkclkxJ2LciE6epHkxCmbr4dMc+59Q6EQms0marWakLF4CKH8itpsNq9YLAa/34979+7Jc5GBTutP2o2qqipWn8DZrv3WrVs4OjoSNzDKztLpNEzTBHAGwZMlToSBiVb8My1CR6MRNjY2MBqNUK/XMR6PEY1GRQ9OOJ3SKE69mqZJw49Go9Lg6cAWDodxeHgIAAJtJ5NJjMdjtFotibMk8lAoFFZc5LzyyiuvPov1WDqsoij/RlGUpqIo7y3dllYU5c8URXl4/r+p89sVRVH+V0VRdhVF+YGiKJ9/kougY1iv14OmadjY2MAXvvAFbG5uolgsylRNNjMnOk5+dJ0idNrpdIR4xAbOqbbX68EwDKRSKfh8PrRaLYGhY7EYbNvG4eGhNG0ahEynU2Fnc4okhE14Np1OA4CYdvh8PoHhgTOWsmEYkuVMODcWi4mTFvXS8XgcACTNihnOZDpHo1GBeklK4243GAzC5/Ph4OBA9uuDwQDZbFbMT6bTKWazGV5++WUEAgEUi0Xcvn1bCHiMyCS7m4zter2Ofr+PSCSCV155BZTH0c3N7/fLxMwDCnO2edDK5/O4efOmJGHx9ZI17/f7sbu7K97khL4pt/PSrLy6SH0a32FeefU06rEQt6IoPwFgCOB3Xdd98fy2/xFA13Xd31AU5Z8DSLmu+88URfk5AL8O4OcAfBnAb7mu++XHXUQ4HHZv3LgB0zRl2tI0DalUSr7YmVLFaZWWmNxL6rqOVquFfr8vkYs+nw/lchl+v18ctPL5PHw+HxqNhjTKTCYDy7LEr5t64sFgIHAsgJWMaJp48Fq4T6X1aL/fFxIap202R7LOybCmC9psNsNLL72Ev/7rv0YkEpGgENM0hc0ejUYFdp7P56KzJgLA62BzpGyJCWFs4mSoh8NhmcTJ1iZkzV00JWQ8pJD0xfdE13UMBgORUvHgxOZLVzfHcVAsFuUz4+fd6/UEvVhOr+JzAJBpnvI7D+L26knr0/gO8yBury5aTwJxP3aCdl33NQDdj9z8CwB+5/zPvwPgP126/Xfds3oDQFJRlNLjnoMNkBDmaDQSMlWpVJJ9KQ05ll26aFzBXSdwFogRiUSg6zr6/b7AsbZt4+DgADs7OxLRSDOR2WyGcrks05ppmpjP5+h0OphMJvjSl74kjGrC5Y7jiBwoFApJ88zn80LCGg6Hsmsej8ciyaLGV1EU9Pt9uYb9/X1hbHMHTPiekHEwGEQ8Hpe1QDKZxLVr16Qxs8lywibkz4MLJ+NoNIpgMIgbN26IXhk4I9m1Wi1Eo1HRezOwg/fjQYSMbq4DaGNKxIJaccMw6ACGZrOJZrO5cmgIBAJy7fQzpxSNjm30C1/OB/fKq8fVp/Ed5pVXT6M+7g664LpuDQBc160pipI/v70C4Hjpfifnt9U++gCKonwDwDcAyHQ2m82QSCQE3iXsnUgkZEe57DbFFCcylNPpNK5evSq+0r1eT5y22EDIROaemyzo+XyOdrstGuHnn38eo9EIrVYLjuPgu9/9rhDIXNeVWEY2QU7TlmXBtm2RL3G/rKqqGILQrpJkLU6GzFmeTqeinSbZijtq4Iy9zfSryWSCdruNfr8vpCrTNFc04a+88go++OADMXzhY1ADvbOzI9fEzyOTyWAymSAYDAp6Qbibr5d/p3SLj80Gzdc1GAxEQgd8GPzB+xIpIOyvKIrsmOPxOFzXhWmasgvP5XIf89fWK6+kPtHvMK+8ehr1SZPEftjI/kOhH9d1vwngmwAQCoVcso1rtRoURcHVq1dlkj08PMR4PEY+f/b/oU6nI9MkG+TJyShvLdEAACAASURBVAkSiYRMs4xFJJuaUzUAbGxs4E/+5E8EVr1//z6AM/lPIpGQRqnrOlKpFBzHQTQahWEYiEQiSKfTwgqfTqfC4nZdF/l8XuRN1WoVhUJBbEIXiwV0XZcGtUxm4yRaLpcxGo3Q7/dh2zZc14XjOGg2m7J/5W49EAggmUzii1/8Ig4PD7G/vy/MdQAynb7//vuCDMxmM3kfms2meHbTOY050pzodV0XE5jl/TvZ7JFIBLdu3RLi3Pvvv49cLgfbtoWVz+arqqqYp4TDYQn3WA4KoUQrk8mg0+lgMBggk8mITr1UKnlOYl49zfpY32EexO3V06iP26AbiqKUzk+eJQDN89tPAKwv3W8NwOnjHowEIAACwabTaSGEBYNBBAIByWXm5EzIltKc5bQl7k/9fj9s2xaovNVq4f79+wIjAxBNNB27aIzCwIfRaCTkLOBMinT9+nX0ej0sFgukUikAwO7uLgzDwHA4hK7rCAaDME0TlmVJ2AZJY5FIRF4XPaoTiYTA98ua7Y8aeTAuczgcYmtrSyDoXC6Hzc1NGIYBXdfFrYukKjZg2m1yz7ysM1ZVFY7jyPMEAgGUy2UoioLj42P5WaIEqqri8PAQgUBgRZ62tbUF27Zl90+kglA90RIGYhA2X2bAl8tltNttsYBlCEi5XP6Yv7ZeeSX1iX6HeeXV06iP26D/EMCvAPiN8//99tLt/0RRlG/hjGBhEEZ6XFGz6zgO7t27hwcPHggbmaEXiUQCnU5Hpi7uo5mBPBwO8dM//dP4zne+I25Wuq5jc3MTuVwOb7zxhuxGOYUyxYlxlKVSaYWcRHnTbDbDxsaGJEgRep/NZjg8PBRrzPF4jEqlIiQ3WmCORiOsra2h2+2KicpwOEQ6nZbmOBwOheTG164oCjKZDKbTKba3t9FsNuW5b926hV6vh9dee02aPpnl4/FYJl2y5Ombzf94GEqlUjKR67qOyWSCSqWChw8fYjQaodvtysGBDmbLj0XXNl4vAzEWiwUKhQImkwl6vZ6sEuir3mq1RMsdi8VkFcG0K14jnc94mNnZ2fmYv7ZeeSX1iX+HeeXVJ11PwuL+dwB+CkAWQAPAvwTw7wH8PoANAEcAfsl13a5y1tn+FYD/BIAN4Fdd1/27x11EMBh0C4WCZBaTxc19LSesZYIY985+vx+DwUDsMRVFQTQaxcsvv4zpdIqDgwOMRiM4jiPyn2g0inQ6LQ2G0iZKpTiF8/kI0bJJsKHquo4333xTIFeapBBmD4VCAplTB83rCIVCEokJQA4iDKQoFAoStxkIBGSKXg6uGA6HSCQSKBQKiEajaDQaqFarqFQqEsQBQPbUNGeh2xdJYMv3pSUpDxXcITPak++f4zhIp9NQVRXtdls+M0LVnMQJffP96na7kmdNVj4A0UPz86aTWTweR71eR7VaRTAYFMj9gw8+8FjcXj1RfRrfYR7E7dVF6xMxKnFd97/4f/mnn/kh93UB/NrjL+3v14svvoi3335bYgop+wE+dJTihLbcqKLRqDRUTnOFQgGnp6ewLAvdbld+Ph6PI5lMol6vwzRNhMNhxGIxmeiWyU6apmE8Hsu+mY5gJDS1Wi2xHuXPEJo/OTkRv+1utytQPP3Dad5BchwndhLK0uk0jo+Pkcvl5BBBYhx3uLx/Op1Gs9mU5h4Oh8WHO5FIYDQaycGHzZlTdrlcRrfbFQMU2m5yNw9A7FBJTFvOpCaUn06nJReaBihswMsZ2Hw8IgQ8ZC1bgM5mM1lv9Ho9BINBeSw2/mw2+3F+xbz6B1qf1neYV1590nUprD6j0aj7sz/7sxiPx8jlcnj33XfF/YtuWqqqypc0tcTLoQ+RSERIUcPhEOFwWPad9Lym0YhpmlAURRpOuVxGqVSCZVlot9vS/KnJ5YTOCZHTHU1PSPDi9Li+vo7RaIRwOCx6Z7Ki6UFNmHuxWEi6FZvcYDBAIpFALpfDYrGQ53BdF9lsFpqmod1uo1Ao4MGDB5hMJkKo4+GFcHAqlUI8HkcoFMLu7q74hxcKBdljL3tq81BiWRZyuRxUVcXp6am4gwFAOp0WGZvjOBgMBnJA4v6YOmu+bh4SOB0zlISrCv63HMHZ6/Vk5039eSKRgGEYng7aq0tV3gTt1UXrmbH6nE6nuHv3LlzXRbvdhuM4oiWm77amaRgMBuL4xaYAQP7XsqwVCRStL3Vdx1e/+lW89tprAtOymaiqipOTE5ycnCAcDqNUKqFUKuH4+FiIW3t7ewLT+nw+gZMzmQyef/55PHz4EJqmoVAo4N69eytuZ8FgUOw+6RdOHTOhaxp8UFvsuq4EW9BwJBQKSa41Ge2BQEBcxKiVnkwmyOVyYklKklu73Yau6zBNE+l0Gi+//DKCwSC+973vSXKXcp4gZts2/H4/6vW62JuS3c1DBvfKqVQKqqqi1+uJe5hynkM9nU6FN8DDEHXdnNB5uOABS9d1xGIxGIYhEi/qxk3TxGKxkFWCV1555dVnuS7NBE0JFZnY4XAYL7/8suQaM4CBDWfZn3s5zSkcDovDFiMSOYEDH+56HceRhClGSQ4GA6iqKpPyMsOaARU0CuEEzwl9OYEKgMRAckrd399HpVIR45NCoQDLskTStBzJSMJbPB5HIpGQyZjlOA7q9Tpms5l4V/t8PrEanc1mcshgA9Q0TWByOppdv34dW1tb+Mu//MuV3OtlIhenYe7dp9Op6LpVVcVkMoFpmsKur1QqAv3T+ITwOnC2ny8Wi3LgYHoYn5s7a646eNAgokJXtuPjY2+C9urSlDdBe3XRepIJ+lI0aF3X3Ww2K/tdFidWTorcSQMQu8uPwsX5fB62bcNxHIzHY2QyGWFos0nTprPT6QhrmfAq4Wo2F13Xkc1mUavVROa0rAUOh8NwHEcaa6lUwt27dwWSZbPl9fHnisWiSJVOTk5gGIY8ViKRkKZIh7JgMIh+vw9N0wTmbbVawqD2+/14/vnnAQAHBwd44YUXcHR0JA5qtAMlbL8siQIgMDuvgzv3ZDKJQCCAra0tBAIBfPe73xUCH6Vdi8VCtOl0WqNsil7pTNiKRCIreu7ltCu+92zmtDlNp9OIxWI4Pj6W9cPR0ZHXoL26NOU1aK8uWs8MxM3mG41Gxf+a5CwAArOOx2NpWCRqMbKQcCjlQpTsLJt6sBnQvIR2kpywp9OpGI6QNFUsFjGfz+VxSKQCII/HhsWmY1mWPMfx8bHAtsvpXIvFAv1+H5VKRWxAacfJaZYxmzQ5icVi4j7GCEz+nKIoqNfrCIVCiEQiQpJb9hGne5nf70cul0Mul0O9Xsd0OkUmk8H+/r6wuunHDUDyt+lLTukZbUs5aXMdQV04PztOwoS2aYPKfTXfP0ZtMs2Lk/x0OoVpmrIH9yBur7zy6h9CXYoJWlVVN5fLyWRFB69kMomTkxMAZ+xfTmNsOsDZJEj4t1wuS2azZVmy8wwGg5hOp7BtG91uF7FYTKa9TCazIkEi1MxmxAlbVdWV5kXCE3eu1FQvy4cIz3KHns/nMZlMZL96eHgo+dY0BuHnQbibTfCjBwE+zvr6upDTaBYym83EN5w7cE7K6XRamrmqqrL7pT6cASWmaWJ7exvz+VxgaBLZ+PqpdyZSwAMAURA+Nw8szMAmeY/e5dPpFNlsVnbhH3zwgcjtTNMUciDlWefMdG+C9urSlDdBe3XRemYmaDZRunLdvn0byWQS1WoV2WxWLCm5E2a+MvfBZB8TxqauORQKCbwNQBomnbWy2ayQmwBgc3MTnU5HplTC5zTliEaj0DRNmv9kMkEqlcJLL72ESCSCv/qrvxJomLtbsr9JWuv3+7AsSw4BgUBAzEuoswaAa9euiXELr3c0GglRi0hDv99fYURz583XSokZof9+vy8oQq/Xk+mWDd80Tdy6dUuiL4kWMEZyOp0K6c11XZTLZRwdHQmznsS3Za328qEHgHAD+L/BYFDc4WazGYrFIvr9Pnq9nujCWV7cpFdeefUPpS6FqfHyPlTTNHQ6HbzzzjuwLAtf//rXsVgs4DgOAAhbOZlMSpwiAIGwGbcYDAZFP0zXKk57fr8f2WwWsVgMn/vc51AsFmWvC0A8vV3XFQ9vv9+PTqcjsqTxeIwrV64gFArhzTffxOuvv44XX3xRXk+73Uan04GqqvD7/WLkQekYYxcXiwVKpRIymcyKkcj9+/fRarWgaRqy2SxSqZSQ1W7evClOY7xOvn+TyQTJZFLc0+bzuTRt7ni5ItA0Tby+lxOwljXMZG3v7u6i0+kgFovJzy3HavZ6PWFZM1CDn6umaWKKEgqFxEZ1NptJIMj169dleqfuXFEUaJomO+hcLodQKCSe7F555ZVXn+W6FBC3pmnu5z9/lotOMhN1sIvFQnbUbMDcEefzeWF4B4NBVKtVgaPZcLjXVRRFGk8oFEK73RYf60ePHiEcDkuTZsMiTMxmxak6mUwim80iGAyi0WiI7/bh4aEEdcTjcZnMK5WKpFXRd5wTNRsUG63rukin06hUKuh2uxiPxxLhyIbH0AsA4h++PLkGAgEUi0XMZjMhy1HeRN3xcDj8e6x4NkTC7plMBgCEC0B3McL9nIK5NuCenjvu69evYzqdYn9/H4qiIJFIoNfrYW1tDe12G6ZpygqAEDxfE41i+LmTL0A9/Pe//30P4vbq0pQHcXt10XpmWNzBYND94he/CNd10e12hUxEkhS/rFOplDSEZDK5YnvJhkXzDDZp7odHo5Foj9vtthhm2LYt92XM4nJAxTLJjHGIwNkUyoQrkrQ48RJans/nyGazEkPJYAnuaS3LkkbORsq97bKciw5qAGAYxsp+1nVd6LoOVVWxt7cnUzoTuBgmYhiGNGjXddHv96Uh8zUqioJCoYBut4u1tTVUq1V5X3kdZMwTzqYDG3XiqqoiHo9jbW1N2OnD4VBSu2hywlhPoiC0cqWnORESatsVRRGy2nk0qNegvbo05TVory5az8wOWlVVKIqCZDKJdrstsicadkQiERwdHcFxHJmAAYj2mZ7PnOgYhsGJWdd1kU1RgsXpkbKlXC6Hk5MTuS0ej8v+l/tn7rqn0yl2dnak4ReLRQCQFK1AIIDhcChwNg8bs9kMhmFI44/FYhLqEY1GAUBMTAaDAdLpNPx+v1zXfD7HYDBAMBiUPSx34nQNYzrUso85HxeA7LmTySRs25ZDQSaTwWw2E2j59PRUNOGj0QipVGrFo9yyLKRSKdn1+3y+FXvWdruNbrcr7zOvidIp2pIuh2PEYrGVQwpREE7tzLymMY1XXnnl1We5LkWDXiwWqNVq6Pf7iMfj0mRt24ZlWajVamLhSfkTzUyYKNXpdATG9fv9ePHFFzEcDvHgwQOZyDqdDgKBgMQz0mxjNpuhVqshnU5LQ6DmmP7ZnGaZFAVADgVsHKFQSAhYjJlcJqzF43GRIHGK5mPTs3oZvua/zWYziY5UVXUlxIMMcday3ngwGAhET+Y1J9fxeCwNkigCAGnoy77kdAqjTp2wtOM4IrlyHEeuo9PpyHsFQNKyJpMJptOpMLfJzCeBjLpyBon4fD7E43EUCgUAwOHh4cq1euWVV159lutSQNyRSMStVCoIBoN47rnn8OjRIxiGIW5S0+lULDIJ7yYSCdlbsmE5jiNkK7Ksub/lVMzpmnAp5UWEuEOhEI6OjgCcweXr6+twHEcmPMZb0sVrOp2KfzfNNmjcwfeWLmN0OaPWmtA7XwOTslgMtmBABadRypHYvJlVzduKxSK63S4syxJiGAD5dwAC+TOnmTB3PB6HZVkCSxPKXjaL4eMw4lLXddFTcydOJvYyRM4GTLtSPm+xWBQWeyQSwSuvvIJ6vS5QOFEBv9+P0WiEarWKTqfjQdxeXZryIG6vLlrPzA46Fou5N27cAHC22221WuI4Va1WZV+8DNtSskMXqmUGN3BGaLJtG0dHR2K6US6XZYetaZrsqqnxpbxKVVVpXJxQadpBww4AsovlYYBmHLyuQCCAz3/+83BdF3/3d38n+9NlvTMhbtM0YZrmSswjU6b42ggL0688EonIdSwfXsrlMvr9PtrtNnw+H3q9nkyoDN7g4ccwDGSzWZlM6ZnNhum6LgzDkKQuOqN1u12RhPG948TNfXY8Hhc3MR4W+F4Rso9Go9B1XQ5VnPQZhJLJZOD3+9FsNuUwEgwGsbu76zVory5NeQ3aq4vWM9OgQ6GQe/PmTSGHsbGQNET9cygUwmg0Ep/qVCqFSCSCXq+HZrMp8DhZyGy2o9FIJuuPmodwF8sJj02aLlzc7VYqFSFW8RCxHLhBljEb0XIsJqdINtrZbIabN29iMBiIFelgMECr1ZLoRV3XRXvMfbhhGBiNRqIr1nVdSGA+n08IazwkMMqx2WyKV3YqlcJoNBIGPI1HuGcvlUpwHAe/+Iu/iN/+7d8WIheNXriXjkaj8n4Wi0VxdhsOh8hkMuj1evI+E3kgpE8CXjabRaPREAIe31umkX00aatUKmFvbw+xWAw7Ozteg/bq0pTXoL26aD0zJDEAAo+yiQFnTWrZm5sTciQSQSqVgmVZ6PV6IolisyEcC5yRoobDoXhGB4NBCVzgrpks7dFohBs3buDu3bvSYKkrpqUoSU6maYrTFwDRGS8Tpfj8bFS8pul0ilarhbW1NdTrdXmNxWIRp6en4tFN2Jw/w/0tIWf6bKfTafHjJnEO+DD+kvdXFEWm4eFwKIcJTuqKoqDb7SIcDuM73/mOHHhM01x5bE7IJJDV63VBIbjn5uGCCEAoFEKtVpP9vN/vR6PRQCgUEuc3vlaapwAQTkAkEkG320Uul/vkf/m88sorry5hXYoJOhwOu6lUColEYqVBc1dbLpfRbrfFOASAWIJyiqPFJSFQNgeGXQwGA2mQhK8Js3L3PJ1OZUqmHeVoNEKhUFgJsKhWqysaa8KzNFE5OTkRhjRlS2xSbEjAGbN6Y2MD9XodwJl72HvvvSdaZE7iJHvlcjlx2GIT9Pv9KJVKcihYZrDT7evq1as4PT2F67piHcr707p0a2tLIOpmsylT7rLzmqqq0HVdpE+Ucy1r1QnZM9eZqAJdz4g08CBDN7Hl+zOjm7akTB7jOqLZbHoQt1eXqrwJ2quL1jMzQSuKIuESdOyKRqPY2NhAtVpFrVYTPTObq6Zp2NzcxO3bt/HOO+/g7t27QiRKp9OygyYkPp/P8au/+qt47bXXsLe3B9u2ZXJmMAUnw+l0KtKtXC6HyWQikPZgMEAymRTo9dVXX8Xu7i5u376Nv/mbv4Gqqshms/J4lF1Fo1FpaNT8drtdzOdz5PN5xONx1Ot1OI4jjHTbthEIBCSacjQa4fr168jn8/jzP/9zuZZut4toNApFUdButwUGJyJRrVYxn8+xtrYmh4xutytrg9lshtPTU4GhiVLQKIYHEeBDFINT/3ImdyAQkL34csRkNBqV1QIADAYDOdh8+ctfRr/fl2SuX/qlX8K3vvUtef2xWEwY+OPxGMViUaI8vfLKK68+y3UpJuhIJOJubm5iNBohm82K1IcTFuU9dMtSVVVSpgaDAer1upiDOI6DF198UZKfyJpeDpPodrtIJBKy56Tt51tvvSXMbx4YaCDCpswUKh4SptMpKpUKrl+/jp2dHSFZ1Wo1zOdzYTrTJ3swGIg+ezmZKhwOi8To8PBQdsmapmE4HCKRSEBVVUSjUZmiI5EIms2mHGaYYsXXzffP5/OhUqmIlpm7bO6KY7EYLMtakYjxsEIWOSMvSd6jSQytWXlf6s0Z8MFDEG1UuR8fjUYimSOxb2NjA9PpFHfu3EE8HhcP9EqlIq+Xk7/nJObVZSpvgvbqovWJkMQURfk3AL4OoOm67ovnt/0PAP5rAK3zu/0L13X/w/m//fcA/jGAOYD/1nXdP33cRWia5ubzedmHsnkqioJerydwtt/vF/ZyIpHA3t6eaIPJPAaAW7duiWmJz+dDNBpFo9GQxkg7UQZGxONxAMDR0dFKJCVJaslkErlcDrFYDM1mE8PhEEdHR1AURWwq/X6/TKiPHj0SBjgnxxdeeAGu6+Lk5GRFr93pdOD3+wVKZnQmSWqKokBVVSQSCQyHQ7H15IQaiURg2zbm8zkWi4X4bw+HQ0n6IhEuGAyKjpuMabKtAaw8Di07+V+v14Ou60in0ytGLNQ30987Go0iHo/j6OhIduDLcZrMhqaLWyqVEkOT5Sk9FouJAQoPA47joNVqIZVKoVareQ3aqyeqT+M7zGvQXl20PimI+98C+FcAfvcjt/8vruv+T8s3KIpyC8B/DuAFAGUA/7eiKM+5rjvHY4pZyzQSmU6nYhO5sbGBk5MTmShpTHLt2jU8fPhQYhUdxxEP71QqBcMwaAuJYrEoeceEaU3TRCwWExtKXdcBQB6HJLVut7uS5HTv3j0hVZHVTDkTDxKEixkl2Ww2BT7m6x2NRkIe4/NHIhGMRiOk02mEQiEYhiETu67ryGQysgPu9/uyQ14sFrL/vXnzJl5//XV+JjAMQ2Bh7uKJMFiWhWg0KtMuJU6cgHl9bNrcbTPYYtlqleEkZGFXKhXRsZ+cnMh7sr29LQY01KBbliX2qGzmNJIBzkh4kUgEW1tbkk7mlVdPWP8Wn8J3mFdefdL12DQr13VfA9B9wsf7BQDfcl137LruPoBdAF96kh/k7rfb7UJVVdy6dUuMOwjbkjwWi8Vw48YN8dTm/UhSInzMCbHf7+Pg4EC8osnYZlPl429ubopzFp3LAKBUKmEymeDBgwfY29tDNpuV5j2fzxGPx3Ht2jWk02lcuXIFiURCJFZkJnN6BCA5yLT3jMViyOfziEQiAsWzYdFmczgcSnAGbUc5heu6ju3tbcTjcbTbbbz99tuSqV0oFMQIhKgEJ3ifz4dkMilGLrQeTSaTMgmTrf2Vr3wFyWRS3p9lUh49wZnVHIvFoKrqislIIpEQwt7h4SGazSZs25ZQDhrVcC9Oq1euAWg4wwOBV149aX1a32FeefVJ1/8Xktg/URTlHwH4OwD/1HXdHoAKgDeW7nNyftvfK0VRvgHgGwDEOIPQ6wcffIAHDx5Ic2PCk+M4QlyiTIeN0O/3IxqNiutXs9mEz+dDPp9HoVAQm8nRaIRer4fpdIpkMimNxLIsabacAGmDSaiYxDBOswzBACBuYqenp0LyoiQrHo9LM+NUTFczNju+jh/5kR9Bq9VCrVbDzs6OHDICgQAGgwEajYYwpkejkezR2+225FXP53MkEgl0Oh2ZYBk2Qb03AJnwK5XKyh6Zr49TMd27CNdz90xIvd1uy2dCPfY5DC3riOX9OyF6mrKEQiGB2un3DUCkY4FAALFYTOB3z4vbq0+oPrHvMK+8ehr1cUeRfw3gKoBXANQA/M/nt/8wTP2H7mZc1/2m67pfcF33C9S60gqSjYBTNXe3JFQNh0Pcv39fJs5lzexyo18sFqhWqzg5OcHp6ak001KphHK5DOCMiFYsFrG9vY3FYgHbtvHVr34VrVYLhmHIhOg4DjY3NxGLxZBKpUSuRMYzDwZsHiR8RSIR0QYDECSg2Wyi0+nIxMnb79+/j/39/RXmtK7rciAg4Y0SLTbryWSCRqOBWq2GarWK9957T7ywTdMU729Op8sBFty9k0V/fHwsUiuy2TkFE+rmfr/X64nbl6Io+OpXv4pSqYQrV67Ite7t7WF/f19042TQAxBUgZpuAMhms5KXzddcr9cF9ahUfuj3pVdeXaQ+0e+wp3OJXv1Dr481Qbuu2+CfFUX53wD80flfTwCsL911DcDp4x4vEongS1/6Evr9PmKxGGq1mpCMmA3ML3dKphi44PP5xKLy2rVr2N3dFQ9paokpdeKUXKvVxPAinU5LRvMXvvAF7OzsoF6v4+WXX8ajR4/gOI7sxtlsOb0ahoFSqYR79+6Jg1atVkMsFpMGlEgkZEKnNIk7cOZCm6YpTlnUe9u2LRKvSCQi03s+n8dkMsHx8THq9Tr8fr84oXEXT+vPRCKB8XgsEjXGPdq2jbW1Ndy9exeGYcB1XfEfJ4RtWZYYpmSzWYnSXD7Y8P2ks9lsNsO3v/1ted+ZG53L5YQd3ul0xFCGft+DwUACTZLJJFqt1sp1UzfN0A2+t1559XHrk/4O88qrp1Efq0ErilJyXbd2/tf/DMB753/+QwC/pyjKb+KMYHEdwN8+7vFs28bu7i62trZkEqXvNGFjkseYwUySFJOgFosFTk9PkclkkMlkMJ/P0Wq1RC61u7srzSefz4uVaK1WwwsvvIDpdIof/OAHePTokUC4gUAA6XRaiFLHx8cAzohWAGRCpFzIsiyZnG3bFnh5ObACgEioTNMUoplhGHjnnXewubkpu1lKuSzLEvkZG56maXjrrbcAQN4nv98vemrDMGDbNiKRiOySCVdT+82DxOnpKcLhMMbjMcrlshicMFrz8PAQmUwGtm2LnWgoFEKhUEA0GsXOzo7A6ITj+ZppMtJqtZDNZpFIJOA4DmzblkQyHiaoM7916xbef/990ZLz+WhiwnhPr7z6uPVJf4d55dXTqMc2aEVR/h2AnwKQVRTlBMC/BPBTiqK8gjPo5wDAfwMAruu+ryjK7wO4B2AG4NeehP1IL+perwfHcWQ/2e12MZlMxCqT5CjukLlDZROk0xT1y8ViEZZloVqtigSIWmjqcdkcCa0zwME0Tbn/cDhEKBQSVjLNUuhyRa02JUlsZD6fTxjowBm0PhgMBK4mI53NjTGY1AYTpufEDkCY0rZtS2OmblzTNHEq4+OTeDWdTsU7nJMpkQfDMHD16lWRsQFnO3W+Hr6vpmnKn2keYlmWJILxkECDGGqik8mkyMZ4qCFpbdlnnauJBw8eSDgHE7F8Ph/S6TQMw0C73X6y326vvMKn8x3mlVdPoy6NUcnnPvc5cf0iy1rXdTHp2NjYwNraGubzOf72b/8Wk8lECGOFQgH5fB6DwUAanWVZUT7xwwAAIABJREFU8Pl8Ajs3Gg2ZEmlZSRY22daGYcikyXxj6nGz2awcDAaDgTR4+mmPx2Pouo5+v7+ic+aUr2maHDQoZeLPLbtvDQYDBINBXL9+XSRNdBELhUIyTXICBc6aaTgcxubmJjRNw+7urrwP0WhU3MNyuZxYktq2LYcgZkgDEGOSXq+3ksy1HFqSy+XkoGOapkRGMn1qMBggEonggw8+AHAG8zMVi4cqTdOwtra2EpDCz/78d0Jc0ihxI6oxnU7x4MEDTwft1aUpTwft1UXrmUqz2t7eRjKZFFmOqqorJLErV66gXq/LVEkpz5UrVyR/+cGDBwiFQvjRH/1R3L9/H5ZlQdd1sdTkpEljE0ZY0ikrFAoJ+zuVSgEAer0eNjc30e125QDAnTQnSaYuLWuCK5UKtre3MRgMxK6UBwSynRkaMRwOhYHNwA7gwwAOwzBgWRaCwaBkNmuahkQiIUgCDVwGg4GQvnhg4O6cedk0cWGgBeVRNDLhTpmfAQA5zBB90DQNn//85/HGG2/Izp/NfzQayZpAVVUMBgOBqgmzTyYTkYDZto1+vw8AstOmHjoSicDv90vTp5b64ODAa9BeXZryGrRXF61npkEHg0H39u3b0pCXwxi4Xybbl5Nhv9/H9vY2Go2GmHzQzIKw9PLERZY0pTrpdFoyntmkCKcuFgvxxx6NRtjb2xNHLkLNAGTSj0QiEtxxcHAg3tOcounNPRqNEI/HxaSE18WwjuXX6vP50Ol0ZGImIhAOh5HNZsWQZdnQg681l8uhVqvJz7TbbSHJJZNJgdjJxOZ7pWkaBoOByJ4o8eJ7xMmfiMNyWAhwxlAnAsBrGY/HQsRj82dsJSVrNFjRdR2GYWB/f18+Ox4aptMpSqWS7O29Cdqry1Reg/bqovXMhGW4roudnR1Eo1Houi5WmwBWLCkpG+IkvL+/j+l0KglX3D/T/pLN1rIsITdxT8qADFqM9vt9HB0dSbOYTCaoVqsIh8MoFApoNBo4Pj6WJkXyFXfFjKBkAyI5KpvNSsNiAyYb+fT0VDTXAFakUKPRCDdv3kQgEMDp6anA1IvFQtKxuH/mYwMQ57PxeCw66Hg8Dl3XxciFByFN03D9+nXs7++L3psw+sbGBu7cuSP2nvV6XbTRbN5EJsbjMW7fvi2fFd/35cjO6XQqu/1wOCySrVarJaljjP4sl8vyO0CmN39PJpOJHKy88sorrz7LdSkatKIoiMVimM1mshO1bVumKODsy9l13ZWJjbaZs9lMSE2pVAq3b9/G66+/LpIoNg4S0DY3NwEAzWZTpl5VVcVQhBPufD5Hs9lEPp+XRkxY3HEcsRwlwYlyMBK1SMyKRCKoVqt47rnn0Gw2hbSmKAq2trbQ6/XExITw+qNHj9DtdkUyxeZOYhlfE9+fZVIdKx6PCxmLELmmaTAMQ4Io3nnnHbk/VwuLxQL1el3sQflZLD825V888NCoJZ/Pyyoin88jFothPB5jb29PCGY0gOEk77quSNESiQRM00Q+n19xEQMgxDvuxr3yyiuvPst1aSDueDwuBKJsNiu7VzYi4MM84kqlglrtTCFBghMJU5wC19fX8fzzz+Mv/uIvZEKr1+tioclJcTweiwtXu91GMpmU1CYymIEzsw96RbMZhcPhFeIXAHE0K5VKGA6HMAxDpni6ePHQwMbL4Im1tTXs7e0hk8lA13Xs7+8L/E2GdSqVkudjo+52u1AUBYlEAj6fD/1+H5qmieaZkykNT/h+hUIhuK4rcZ6UdgFn9qOEmMnK5iFhmY3N+zMXulQqIRwOS1AGm2u9Xkc0GsVkMsHW1pagCI1GA+12G91uF5qmIZvNSgMm4W6xWKDX6yEUCsnBwAvL8OoylQdxe3XRemZ20OFw2F1bWxOYtVAoiIc2v5AdxxHZE/2jAawYYtChijre6XQqU2Q0GpUkKeqDC4WCsJUDgYCQr0ajkUzI3Ievr6+L5pnPy2mOTeXg4EAaGcljZKYDZ45go9FIzEvYfAhrh0Ih1Ot1IcYZhgFd1+WQsAyr27Ytci4+J/DhFExYmGxoXsNy0wTOptKbN2/i+PgYjUZDGjPfE5/PJwz1R48e4ctf/jK+9rWv4Td/8zcxm83kPWTD9vv92NjYkMMDkQTC/4qioFgsCuz98ssv48033xRWOPfhmUwGo9EInU5nheBH7Xaj0fAatFeXprwG7dVF65lp0GRx80uaJiLUwbI5b21tod1uwzRNDIdDJJNJSV4CIClQuq7j3r17EsTgOI40EDK1w+Gw7K6Z5JTJZETW1Ww2he0NnLGLaQdKMhrNPDKZDOr1OlKpFHZ2dlZCHYgGkBzG2EdO0WyuhLYpvSIzmtfHrGuuAkjCarfbEhdJ1zPgzDqTkypJWSS69Xo9IdbRLez+/fvCtObBg1K3l156Cfv7+2i32ygUCpjNZmICw+mfaARJeiS70Z4znU6jVqvh+eefRyaTgWmagkQ0m03RXM/nc8nObrXOkgCJrMxmM2SzWdRqNW+C9upSldegvbpoPTMkMTKdKXHiDrjf78vUOZ1OcefOHYTDYYTDYaTTaZmimdsMnLl8kRg1HA7R7/elQZKlXSwWxce71+uJ+9XBwYFMp8sGGmyAlUpFDgehUEgazO7uLiaTibClI5GIRF06jiPPTQSAhhxssnwNjUYDhmGIN/dyAEW/3xczFE74vG4SsWKx2AosPxwOkc1mJaACAI6Pj4UxbpomSqUSdF3Hu+++K/nSZKYXi0UhozFNyzAM0YhnMhk5jJDVbZomIpEI8vk8hsOhSK96vZ6QxDY2NhCNRjEcDvHrv/7r+Na3voVHjx4JAU1RFGGD08Y0GAwilUrJn73yyiuvPut1KSboSqXi0qyDDldk7M5mM7iui+3tbZHx0AmLX/yz2UzY3ywakZB4xMbCHSxJZ2yWzG3mf4lEAgBEvsTH5EQdCoVwfHyMcDiMw8NDzOdzJJNJybWmHMvv9yOZTApz+tVXX5XwCO7XqS8muzwej+Pq1asIhULY2dkRb2vTNCWGkQQtyp84CS/rkckO57U5joNwOIxIJCKHFxqFsKmPx2OUSiUAQKPRgG3bgirQoYyNdDAYSMCJrusSh8kDQyaTAfAh7E4WejKZRLvdlgMOkZHhcIhCoSCpWzyYhcPhFeez4XCIDz74wJugvbo05U3QXl20npkJutPprPydMYwfdRTjZEumNQlZAGSCZjNjc6fsaDabCYuYe182F07dAITprSiKZBAPh0PE43Gk02mEQiF0u12EQiFpasyRbrfb8vjpdBoAYFmWkLSi0Shee+01iYTk1EuInQleNF6hlSglUpyW4/E4MpkMqtWqwO26rsv7QBkYwzIAyC6YWdb0O+fBhHD+dDpFrVYTIhn39cvwM6+RaEMkEhErz2g0KmQzOoaFQiH0ej0JweBBZjQaYTwe4/j4WAhzJAbSe5sHAuDsgFQsFrG3t/eUfyO98sorr/7/r0sxQYfDYbdcLuPVV1/FG2+8sZKGROYuiUs0HAkGg5IQxUmLkqLJZCK712Wva13Xhf3MCXQwGEhDoZkGJVbL0C33qCSTccfMa+DUuLm5iaOjI/GoJvxu2zaSyaTsd2OxGAzDkOxkSrQsy4Lf7xc5FXDm4T2ZTNBqtWDbNq5fv47hcCgRmsyaZkNWVVUsSnlIaTQa8vdlz3Bd10WCxWvlAWVZojabzTCZTHDjxg0MBgMYhgHTNJFKpbCxsSFuYZFIBNevX4fjOHjnnXfkcEGnMO6mCZFbloV2uy0adZqXEN7m5z4ej6XhV6tVtFotb4L26tKUN0F7ddF6ZkhiwWDQ3djYgGVZApOy0dq2ja2tLUlpol3lZDKB4zgYj8d47rnnMBwOUa1WBeplw+bUZVmWTL5kQ2uahmazKWYZyxnUnOJonqJpmkx98XhcZESqquLll19Gr9fDwcGBWGsuG6WwWU6nU6ytraHf78M0TaTTaQneILTOQ8bp6SlyuZzsmQeDAUqlkkzS0+kU6XQa0+kUDx8+BHA2YZ6ensrjMDAjl8vBMAyJ6pzNZiJzYhNkKAeTuwDIHpge4RsbG+IJTgIYWeKnp6coFovioEZNNnfy3IeT3T0cDtFutxGJRNDpdJBKpUQWtlgshMQ3mUzk0NFqteSAZlmW16C9ujTlNWivLlrPTIMOh8Puz//8z+P4+BjValWmNrKgE4kEut0uAIjemA2QrGX+b6/Xk91zsVjEj//4j+Pw8BCNRkN2p67rYj6fQ1VV2Y9Sj9zpdGRKXoZXAci+lhBxr9cDcEYeI3HJ5/Ph4cOHIsmaz+fS8AKBACqVivyZzYha7sFgIDtWBl9QX8xplc5pJJ4Nh0NxBet2u4jFYmi320LeYp42SXPAmbEL3z8eCLa3t+E4Do6OjgTKJpJBohaAlaa7LMciU3w+nyObzYpMjSlio9FIntM0TTkg0WKVmnJ+7nR/o0d5LBYTydV50/YatFeXprwG7dVF65lp0Kqqumtra3AcRyQ7bBKlUgmdTge1Wg3xeFx2qmwS/EKnxpZwNifpra0tae50IqMndC6Xg+M4CAQC2NrawsHBgdzXtm34/X5pVAAEdu73+wJrFwoFpNNpITVRT8xoynq9jlgsBtd1RcYUjUbF11vXdZimKbtqNirmLUciEUlzGo/HQvzq9/syJXM/nEgkkMlkcHh4KHvvZZgeOIPLE4mEvD+tVktIeIz7PDo6EhhaURRJmeL+2LZtef84RQOQ1YDf70c+n0cwGES73cZgMJC9s8/nQ6vVksMDE67IKWAIx9tvv43xeLyiPVdVFVtbWx5JzKtLV16D9uqi9cyQxOjtzD9bliUe07SKTKfTQuqimQVwZrQBnEUaEv4kk9jn86HZbIo+mLtr2klSD91ut7G/v4+1tTWBpQkTU4pk27bEW9Jiczwew7ZtFItF8daezWbIZDIIhULCYibxjIzrxWIBx3EwGo0kvILEsOUgjel0imQyiXg8jvl8LpnZdAVjGhaJc7Zt49GjR6Kh5nva6/WE1d7v96XZO46Dn/iJn8Bbb70lBimKoiCTyeD09BSj0UgOFmyUtB8l057wO98Twu+VSgWDwUB27STxkZxHCRqDPjjxu66L119/XQh4PEDyIFav13H79m2JsvTKK6+8+qzWpZigNU1zr1+/DlVVJf/XdV3cuHED4/FYvpwZt1itVoWlHQwGpQHTz5pf/IqiyJR99epVPHjwAJqmIZ/PC5GLr5/QN9OdKpUKXNdFp9ORnTcJXJzQt7e3RVJVr9cBAMFgUCZjNjeabCQSCZE2cXqk0Qqbci6Xg23bohPmNK2qqkQ9cnIm0a3VakFVVUnPisViYv9JuRqhbk6qJHUlk0kh3y1D1v1+X0I6SEBjcyVpjN7hZHBTJlYul+E4DgCIjA0A8vk8TNNEp9NBNBrFYrGQnT0nfT5Pq9UShjujRYl2AMC9e/e8CdqrS1PeBO3VReuZgbh1XXcrlQpyuRx2d3fh8/kwGo2EyMRwCpKtuPtVVVWkOpFIROBf27YBQBoJGwsNPpajDOl0xbQs7o2DwaBA7TwEkMAGQIhLGxsbQogaDAZyMOC+2HEcFItFeWwA0oym06mQtGzbFl9vMtN5OOF18Nry+TwMwxDLTBKvyCjnzpgwPI1PAIitaLPZlF38+vo6gsGgEO+4N5/P56jX6yuNmddHngAPBdPpVGD1YrGIUqkkO276oFP3PJ1OVwhpNILhNZJpPplMkM/nkUwmRYqn6zocx8Hdu3e9Bu3VpSmvQXt10XpmIG5VVWHbNjqdjthvkljk8/lEngScwbU/+ZM/KbpaNkUGRXzuc5/DnTt3MBwOZTpl6ATduagZZr7ycpNblnPpuo5wOAzHcZDNZiXVqdlsCmTOlCaypbmvvXnzJt588005bPh8PnEt8/l8wvTmrpswcqlUEucvHgw4ua+vr6Pdbksjb7VaSCQS0rgZlTkYDOQ1kuhGtMG2bZmuw+EwxuMx9vf3ZR+/trYmWc3cFfd6PXnt8/kc8/kclUpFpm4aviiKAlVV8fzzz+Pk5ESa8LvvvisT/Gw2k508PbbJDCc6QavPyWSCWq2GRqMhBzBmdHvllVdefdbrsRO0oijrAH4XQBHAAsA3Xdf9LUVR0gD+TwBbAA4A/LLruj3lbEz8LQA/B8AG8F+5rvv2f+w5wuGwm06nxa+ZOt3lqEU6VfHLnNIkQp60qFyGrHVdR7vdRq1Wk50xdbonJyeyi6X8Zz6fy2Pw58kk5g4XAHZ3d8XYI5VKIRwOo9frSbzi3t6eNKRgMChNiAcEx3EQDAYl+KLf7wu5qtfrQVVVXLt2DYFAAIeHh7KP5oEBOHPnIuvbMAyJy0ylUvIauNdd1jJnMhnk83lhtfM/TvvMiyY0HY1GhSS3zBMgQjAajSQFjA37ypUraDabiMViCAaD6HQ6GAwGyOVyAsnz8BQMBqGqKvL5vFiaEgLn66P8bnt7W3zKvQnaqyepT+P76/x5vAnaqwvVk0zQvid4nBmAf+q67k0AXwHwa4qi3ALwzwH8ueu61wH8+fnfAeBnAVw//+8bAP71Y5/gnDHM/Wo8Hkc8HkcymZSJmsxpNmcA4jbF5hMMBhEOh5FMJkWnm0qlZIdLlvD+/r64YZHsBADZbBbBYFB0z2wgbCpHR0eoVqsrBCkSnOhI1mq1RLvLx2VKFwli3B9zQiacvtywTk5O8PDhQ5imKYeIWCwmhDPqsJfNWPiesJFPJpMV2JiypuPjY5FDkW3Ow45lWXAcB36/H8CH8Z18zWS2c/rmaycEr2ka6vW6sNFN04RpmphMJuj3+2g0GpI0NhqNoKqqOLYtH2IsywIAQR9o1wpAmPZeefUE9dS/v7zy6mnVYyFu13VrAGrnfx4oinIfQAXALwD4qfO7/Q6A7wL4Z+e3/6571p3eUBQlqShK6fxxfmjN53Ok02ksFgtsbGyItzR3xolEArFYDLFYTKwe2fAAyH6Yu2RFUUT6dHR0JAQjwuAMsGAzZDOnhno+nyMejyORSGA6naJer2M+n6/sruPxOGzbRjgcRrfblcbCnTmAlaSneDyOarWKQqEATdNkKqYtZzKZxJ07d2T/yuIB4fj4GIlEQhy9CIPP53PRJCuKIggEXcLIVFdVVUhlPNAcHByI/SkbLPff1HsDEOgf+DD5ix7opVIJ/X4flmVhMplgsVggkUjIlEyCGHXb8/lcuAWLxQJXrlyRzGoeOIhgMP+baADfM6IIXnn1uPo0vr+88upp1YV20IqibAG4DeD7AAr8pXVdt6YoSv78bhUAx0s/dnJ+28ovuKIo38DZCVXIRtxPWpaFF154QcIaGO3YarUkgpC2ndTkEnYdDAZIpVIimXIcB5PJBKZpynMoioJqtQrXdVEsFkXSRQKaruvCsmZDy2azaLVa4stt2zZ8Ph8ymQwajYa4ei3vp3lNAMQ4hf7a1HnTVctxHNETO44jE3o0GkW/35cJO51OIxwOo1arSaOlhKvX64lLWqVSQb/fRz6fxxe/+EXYto379+8LDD2dTmEYhrCmi8WiHCI40RaLRdTrdbiui3w+L2lf1DDztZCcBkAaMj3DuWumA5qqqsJsj0QiODk5OftFXHJTi8fjGAwGAM6050QJ+Lh8Lq+8ukh9kt9f548n32FeefU06om/6RRF0QH8XwD+O9d1TTKSf9hdf8htf28/47ruNwF8EzjbQRNaHo1G+LEf+zG89NJL+L3f+z0MBgM4jiPTLQ1BAoEATk9PUS6XJTAiGo1iOp2Kv3O/3xcv73Q6jV6vJ9pc2kiSpEXyF6fUg4ODFRY34xYpmaJe+J133pG0pfl8LklQdNxik6fueBlqz+fz0lipE9Z1HWtra9jd3ZXGxP3uZDIRVzX6iTuOsxI9ORqNZPLntX/3u99FqVTC5uYmDMOAbds4PT1dsSyt1Wo4PT0VyH7ZKS0Wi+Hg4EA02qFQSOB76php2sJMb+7eF4uF6Kuz2ayYtQBnhxa+RmrYuQKgSQrZ5mSFMwnLK68uUp/09xew+h3m7aC9ehr1RA1aURQVZ7/c/4frun9wfnOD0I+iKCUAzfPbTwCsL/34GoDT/9jju66L3d1dgS6/973v4fvf/754Xa+trQnpajqd4uDgQCwuZ7OZeE2fnp5C0zRpdvl8Hq7rSkNbnv7InCYkzRzjaDSKRqMhh4HlxKZkMolutyumIWR6U1/MCZEQM6FhEtgoUwLOGjh1xpwmORErioJ8Pi9WoHyd4/EYtVoNw+EQ6XRaTFxIqGN2tWEYCAaDCIVCSCQSCAaDsntmIwyHwysBI8CHUDatQwGILpxMdd6Ph6TFYiHZz6yPplDRTOWjbHkePHw+nxDdQqGQHBReffVVMa6p1+tiVpNMJp/k19YrrwA8/e8vr7x6WvVYktg5q/F/B3Dfdd3fXPqnPwTwK+d//hUA3166/R8pZ/UVAMbj9jdsEvzCZ/whG9fx8THq9Tp2d3exs7Mj9+HUSw9qTnW9Xk9sK03TRCgUQrFYRDAYXElQ4s6a2mjXdcUVi82L5CoAK40tHo+jVCphY2NjRZY1GAxgmiY2Nzdx9epVCYogrDuZTISZHIlE0Ov1YBgG+v2+NFoaf2iaJjKqaDSK9fV1pNNplMtlqKqK4XAozmgbGxsol8tot9u4deuWyJ8GgwEKhQKuXLmC4XAokzilY9SHk/lNDTT323zN169fX0nYYuNn0yXJjCS+XC6H9fV1QUXYwBkRupyZzRUFAPFBp1b70aNH8Pv9KBaLQgT0IG6vnrQ+je8vr7x6WvUk33Q/BuC/BPCuoih3zm/7FwB+A8DvK4ryjwEcAfil83/7DziTKOziTKbwq09yIdQGm6aJWCwm+2h+oQ8GAyGGaZomdp/Me6YkR9M0JJNJyTIOBAJIpVJIJpPo9/viHc0pbllmRkYxgzToTEay0zL8GovFxOmLk2+73ZZDRq/Xkx05J2eSqLhjPj09FT0ybUyXc6zZ1MPhsDRGSo7oKkYLTtM0hfxWrVYBQHa/P/jBD0RyxoOPpmloNBoCRZOYxjCKdruNVCqFVCol0DmdydjU6ZTGoJLRaCTSOF6rz+eT94+uaPwzd+bBYFCe33EcJJNJsUJVzmM8O50O8vk8+v2+B3F7dZH6VL6/vPLqadSlcBKLRqPutWvXkMlk8P7770vCE3ekhmFIs+KExR0vsKrPpZ6XsHI4HMaNGzcwGo2EkERvbcMw4LqusIW3t7fx8OFDxGIxDAYDgWbpf82ACZ/Ph263K/GPZHDTxYtEJ+BDOHg6nYqJCdOz/H4/DMMQu03qjyORiMDXywlU5XIZ/X4frVYL8/lcpnDmVJOsxcemyUqhUMD9+/dlmmZD5eOSHc3XQPtNOrcZhiHIAxuzpmnQdV3eE7KuiX4oiiLOYSR/kRxHVj4naGrN2cCBs733z/zMz2A2m+FP//RPYZqmHIQcx0G1WvV00F5dmvJ20F5dtJ4pq8+trS20222x36S2lhPtspVlKpXCZDKRwIjFYiGPxQbFL3/uX8mWZtY0iVSapolFpaZpiEQiEiupKArq9brsSaPRqFh9kvzFw4Su6+j3+5jNZkin08hms6L/DYVCOD4+FribEZeu66JcLksDJ9Scy+VEC0zSF6VV4/EYpmkKmU3TNCGp8bUTTdB1XaZdogEApGmSWc33qdVqSaNmQAf38IZhyPNwJ04EgxIuytnm8zls25bJnNnXnIbz+byEewBnJjPMns7n87hy5Qree+89DIdDQR/IKueO+gc/+IHXoL26NOU1aK8uWs9Mg45EIu5zzz2HRqMh8YOu62Jra0viE2/fvo3j42MMh0PMZjPJZAYgRC4GNnDCAyBBGnToYhMhs5tGKCRHMc6SzZd71eFwCMuypHmT0MTdcyQSkaQnarKZN81GZ1kWYrEYtra2BLLVdR1bW1uYzWZ4/fXXAZwhAqenpzBNE6qqIpPJrKRrKYqCYrEIy7LQ6/WEpBYOh+Vn+PrZtLmv5vv0/7R3ZbFxnef1/JwZzr7dWcVVFkUvUuxIhuMGSV/ilywv6WP60AZo0PQhRRujL3GKAAGKoi9FixZNC6RI0QbdUCABEhhBHCMoWgTwIrs2LNsSSYmhOEORnOXOvi9/H2bOpxnDi2hb5pD+D0CMdGfm8r9D8n7/933nOycej4vBCNnunMFm1eHFF18UFbFJRyuPxyOEu0ajgVgsJpUDVjZIamNVg2uiYho3NrSvpLAJM3KOz7lcLhQKBcRiMcRiMVFGe/75502ANpgZmABtcFScmADt9Xo1JSY5J0smM9W36vW6sJRXVlawv7+PbDYrrGmymdmbVWMf43g8DgCo1WpoNBqS7aVSKQwGAxSLRcTjcQn41WpV1sVgQEETACKeQlIbgCl2Mp2quInI5XJS7k4kEvB4PLBtW9yvvF4v4vE4fD6f6GJP9pwZtGKxGGq1miig0V6TxK7JtXi9XqlEcLaaxykIwusBAMuyUKvVhCDG7JvkLjLc+bvCnw/XT5Idx6+YRbMSAozMRWiswUye2TF7zdyYMetOp9PI5XIiqcqSfrPZNH7QBjMFE6ANjooTY5ahtYbf75dslRkXDRuoIsXs9fr16zIGRcLRcDjExYsX8fLLL4txRCAQkJGcXC4n7+fYUCwWEy9nBj9mnJVKRf5PAhMzTLfbLeSncDiMg4MDDIdDWJYFAGLjeOnSJfz85z9Hu90Wj+tJ32Ne83A4RC6XEznTSCSCWq2GQqEgzOlqtSokssFgIEGTr2XGyoDe6XSQSqXg8/nQ6/Wkd760tIR6vY6bN29ObSjYH6fmOIlqLEWzWsEWQbfblZL9ZO+YMqaTJX+OvXHTQYlPsvGTySRyuZyQzJh1l8tl2bSxTw4AqVTK+EEbGBicesxEBh0MBvWFCxdQrVaRTCZRLBbhcDhw8eJFPPfcc5IdUlTE6/UinU5jY2MDHo8Hbrd7yif61nTSAAAYVUlEQVSZGS1v9IPBQOwZHQ4HDg8PEQ6HpezK+epJm0USxHgO9l/n5ubg8Xiwvr6OSqWC+fl5vPnmm8LQpupYu92WAMUA2W63haHOeeVKpSJBkWQq9odXVlaE6U3/ZmauzEbZW+52u3j88cexu7uLYrGIfr+PxcVFJJNJEUnhZ9PpdEQcZVLGk2X0Xq8Hv98vQi2FQkHERtgm4ChaMBiUz5C9bc6AOxwOuFwurK+vo9ls4s0335SWAgDJ8Kmh7nQ6kclkRE6VmynOwFPStF6v49VXXzUZtMHMwGTQBkfFicmgqVAF3CnFzs3N4ZVXXkG/30e5XJaSKx2bbNtGIpGQ8ihdoRwOh6iFKaVEhpP9ZJa8AYi+NvuyZId7PB4haNHqklkwSVfNZlNcmO6//35UKhVUq1XcunVLAhXJay6XC/l8XtjWDocDxWIR+/v78Pv94t8cj8fF3INSnNwwPPHEE9ja2hJd8H6/L7aS7OcOBgPR4uZruNlgJkuVr0gkglwuh2g0KupibrdbFMGi0aicK5VKQSmFW7duQSmFtbU1KaNns1khw3U6HWF+RyIR4QtsbW3B6XQiHA7LnDc3RM1mE+fPn5efs9/vl3ValiVe0qVSSTZgZg7awMDg44CZuNOxVE3rQuDOXDQVpiadpUjMYgBgcOCoDnBndIdzy7FYDKVSCYVCQdS/AIjIicPhQL1eF2KSw+EQ+0OlFMLhMNLptGh1W5Yl8pPXrl0Tcw+ukYGdKmXpdBqWZUlG2Ol0EIvFJMvkjDZ71Ht7e0in08LcfuaZZxAKhSQ4UcyEAbff70v/evL5xcVFvP766yIvOhgMhNXOPjbXynnzdruNfD4vAizFYhHLy8syJ57JjKSK6ePNDUE4HIbf75frYUuBn0E0GoXb7Za1sbR+48YN6ZX7fD4sLi4K+c22bcnkASAWixk/aAMDg48FZqLE7fF4NP2Pb9++LQGHylx+v19u6JyFdblcU4xvlr6XlpbQbrclg2QJd3t7G16vV/qcDAhkHgOQHniz2ZQAHolE8PnPfx5PP/20ZKSTEqE+nw+NRkM2AlTSYo+11WqJgler1UI0GpUgxt41HbVIpOIGoVKpiGwoy88s9zIrp4mG1hqRSARLS0vY3x8JH5Fd3u12kclkRLccgHy+AHB4eCh99l6vh9XVVflcSNCrVqvSL+frOAoXjUZFNKXT6WBpaQnFYlGyXvbBlVJwu93yc+PoG8engJEDWLPZRDQaxcrKCm7duiVVArLV+/0+XnrpJVPiNpgZmBK3wVFxoljc6XRabsx0SKL0pdvtRrVaRSKRkJItwR40b9xkZLN8Sv9h9mU9Hg8eeOABFAoFGYeanFkeDofSf2Ufm6QmEpW4SaDmNTN19pELhQIeeOABUesqFAqIRCIyF8xgS9UuZpqrq6vIZDIolUrS32Xvmz3jSUa5y+WSkjzV1ebm5sRLmaz2SCQiawPujEwxu2XmznnpyfI8yXDdblf60w6HA6urq/D7/VIeJ8OeAZZiJVz7cDjE+vo6MpmMKKlRQYyfAT9vy7Lg8/lQLpdl7aw8MHs2AdpglmACtMFRcWJ60CRGMSNj1utwOKbIW2QBe71eYS+zb9put0UhrNVqoVKpYHt7G6FQSFSveN5f//rXEuzIeg4EAiiVSnK+hYUFDAYDKeey9E5iFo01Op2OCKhwMxEKhdBoNKTczvEjloRJNON76O1869Ytma9mv7Xdbksm3Wq15PMCIBaYVEVjn5fl4EmmO69/8v0UColEIuj3+0gmk7BtW0heDM6sFkx6Ym9tbeHMmTPCoCc5zO/3S8+e66AC3O3bt4VhrpSSjUqz2ZTyfa1Ww/z8PDY3NxEIBJBIJKb8tT0ej1hRGhgYGJxmzESAZsm41+tJeZnBjIzhSCQigh/MwDj/S81p9i3JAl9ZWZmyMaQiFclazMyYMfr9fvnelUpF9L8nNbaZ5TWbzSkd706nA6/XK8E1m82i0WjA4/EI6c3j8UhmyfMNBgMheLVaLZkNpilHPp+Xf086QnFjsLq6KrKkWmsZQWIpno8knZFFTtOJQCCAWCwGYNS35sgTg2Cv1xO97sFggGQyCZ/PJ+fkZoXBn85iJLjNz8/DsiwcHBxI4A8EAsKg9/l80jev1WpwOp3Y399HIBDAd77zHTz11FOiMU6y2yTRz8DAwOC0YmYCNMu0ZPJSjhMYZcx7e3vSN54sO5MoNjmrPJkx+v1+EbigiQTHnQ4ODmTO1+VyCbuZrHEGolAoJCpezEony8XUt7ZtWwhgnU5HMnSykllOj8fj2NjYkIyeGtz8HDgHDgDRaFSySga0Wq0mxDluHkgC297enqo2cKSLfXquheNa2WwW2WwWsVgMrVYLlmWh0WhgeXkZ0WgUe3t7kjkz6280GsIDCIVCU9aabANQrIQz7NxA8Lr4uXOdbC8MBgPcf//9aDabePLJJ+Hz+aYMNjgSZ2BgYHDaMRM9aI/Hoz/1qU+Jg5Rt26JotbKygkgkIoSjcrmMzc1NBINBGckhgaher0tJm8GRvVRaUFKCkyV1yoAyIycDm1ksFcloGUmi06T+N0vPgUAAy8vLQgorFotot9vCPKYIB89N7e25uTkx6MjlcrLG5eVlYak3Gg0ZyeI1ezweYZ0zQ5+cSS6VSmIvqbVGOBxGKpWSPjl7zsFgEKVSCeFwGJVKBYuLi8KWJ8tca41Go4HBYCCMbzpeDQYDWJaFVCqF4XCIYrGI+fl5VKtV+ez8fj/C4TCGwyEODw8RDAYRjUZRLBaFMEZVsXg8jlKphL29PXi9Xtk8sUrR6/WQyWRMD9pgZmB60AZHxYkhibndbv3ggw+KoQIzqVKpJAGTGtpaa9i2LWpcLJXOzc3hk5/8JK5cuYKFhQXYti1ZK/u3tEus1+syJ80Mk4HY6XQiGAyi2WzCsiyUy2WcO3cON27ckHltEtUcDgfK5TKCwaAE6eXlZSl9MwACkIDOx06ng8XFRQnSLBdzY0IRFGDkvrW/vz+VtbMUvrKyIr12jotR5YvENwbEQCCAVqsljlCUR+WsM0vt+XxeMttQKDQ1yhYOh6e0z9mKSCQSSCaTODg4mNL1Zh+aRihaaymT93o9bGxsoNvtys+IZLPJCkA6nUa1WhX7SqUUdnd3TYA2mBmYAG1wVNxNgJ77KBZyN+h0OpIJMlAFAgERDSkUCsjn8yL9yTEgzu22221sbW0hnU6LChUDN3vAZ8+eRTweF3WwXq8nZCyWxCcz74ODA4TDYSE30cGK62SZneQsHuc5udlg5gxAvJIpSLKwsCCBjJsOZsPsedNqkeNX3Fj0ej3kcjnE43GRzARGvdzDw0PJzs+cOSMjai6XC9FoFOfOnQMAycC5SWHg5liU0+nE6uoqQqGQrIljadxsxGIx6SOzdM1Rs3A4PGV/GY1GhYm9vLws6mD02OZGpdvtSvZ/9epV+Hw+rK6uynMGBgYGpx0z0YNm4Hj00Ufx7LPPihoVMzkyollqbbVacsPn6A9Hjuj7TCJRNBrF7u4uHA6HjCrRv5gjU9TmZkZIHfB+v4+dnR3prfI1JGtx9pkBcnt7G/v7+2ISwSyXmTs3Aul0Wjyk/X6/9K3ZCydpzuFwyPPD4XAq42VFgYGx2+3itddek8+F35OCLnysVCpSdqadp9frxe3bt9Hr9WDbtqzB7Xaj1WphY2NDzlsqleD3+5FMJiXzZ8BkBszXsp/f7/dFyrPX66FaraJUKmFnZwe2bU/10NnvbrVaIqQyKfVKshjNRgwMDAxOK2aixO31evXi4uKUNzEVqvjIed3JGehUKoVisShZZyAQkNlaulLxPWRJ93o9WJYlgWZubk68j5khO51OLC0todVqIZPJCHuY2SCDBsu4LAGHQiHkcjm4XC5YliVBnUpYDOos2efzeaRSKekDb29vixVmNBqVWeFEIoHDw0Nhb7PEzkyaM9o00lhcXESr1ZIKBDP9UqkkmxqPx4NgMAjbtlGpVKT0bVnWlMe2UkpMPTgvTiY63bQotALcEUdpNpsSnGOxmOiAV6tV7O3tSdZM/gDXxRJ/tVqF3++Xn3e9XofD4RB7yp2dHVPiNpgZmBK3wVFxYnrQHo9HX7x4UTJleiczE2Xpl0xgMofPnj2LnZ0dDIdD0eUmszuZTIr8ZrlclkAy2UelxeNkZs1ZXGAkBJJKpYS4xazW4/EgHA7j+vXrWF9fRzAYRDqdluzZtm3pH1POksGSzHESuobDIc6ePYtut4udnR20Wi0pETMochaaY2HBYBCPPfaYMNtv3rwp40os25NIRoMLACKoAkCEUNg7z2azUpbvdrtIp9MAMFVdmDTWYIDl58qNy+XLl7G9vY3NzU3J5Mmmz2azSCaTwiUAIBuMaDQKYETmGwwGor3OCglJcT6fD6FQyJhlGMwUTIA2OCpOjFDJcDhEuVwWwRCOTlFak6zkaDQqoz9OpxPZbFYCGQ0YGKQpGfrwww8jm82i3+/Dtm3JeFutlvRTk8kk6vU6dnd3JbulDCYzYpaT5+bmEIvF0O/3cenSJVQqFdi2jXw+L6Vvy7Kknz1pVlEqlaRcTV3uaDQqpfzBYIBYLCaMZaWUOElxU8Le+iOPPIJr165JiZoZOgARGaFS2KSUKcl3wB0N9Hg8LusiGHQdDoeMcgUCAQQCAdn4AEAymcTKygq63S5efvllvPDCCxgOh1hYWJDNFLP0paUlABCLSgZ49vMpHjM3N4disYhIJIJwOCys93w+DwBmzMrAwOBjgffMoJVSywB+CCANYAjg+1rrv1FKfRfA7wPIj1/6ba31z8bveQrA1wAMAPyR1vqZd/seLpdLR6NReL1eYfC2222USiU4HA6cOXMGiURCstetrS3JCu+77z7kcjnYtg2/3y+BimQtmlKwDNxoNNBqtST4MDNjybhUKqHRaCAWi0FrjWAwiEajIdKfJHOxR8oRosFgIKxtt9stNo8kdjEbLJfLiMfjCIVCuHz5Mt544w3xow4GgxgMBtja2pLMl/3ofr+PRCIhGXC73RYnLpauqWcNjIJYJBIRkl21WpX3UuAFgGwGOHNeKpVEFpTfG4BsUKhU1mq14HK50G63sba2hlAohHw+j7W1NfzqV78Sdj1nobk2bsZCoZB8L3pHNxoNWJYlxLV4PC4/J2ba/X4fmUwGe3t7JoM2eE98FPev8XtMBm1wJHxYLO4+gD/RWj8E4NMAvqGUujB+7q+11pfGX/zlvgDgKwAuAvgCgL9XSjne7sQE2c7BYBCXL18WHW632y3qW2Rvl8tlyQzZm242m6KGxT4tn+eY1aQq2YULF5BIJKRkXalUUCwWxbSBBhfdbleYxRQ/CYfD0jMdDocIBAJCyJrsTzudTnHXUkohn8+LoxPVzTKZjCh0eb1elMtlVKtV8bfmWBcDIDclLPnmcjlRLuNmg58D+8RkxIdCIbRaLbHKLJfL6Ha7WFhYwOc+9zkMBgO43W4ZdXM6nSiVSiIHStIX/aGppkZdcs5Zl8tlYaqTdOd0OmFZlrDqQ6GQPFepVFAul2W+mseXlpakr80RuGazKeQ2A4O7xD2/fxkY3CscuQetlPoJgL8D8FkAda31X77l+acAQGv9F+P/PwPgu1rr597pnC6XS1uWhWAwiHA4LIpdZP0++OCDuH79upDHAMCyLORyOUQiERG8oJgICV2cQWawZsBmUGEpmEGLSmXUvh6vX5jDFAuhVOXBwYEEZ6pnkdldr9dx7tw5fOITn0C1WsXVq1cl2HOMq91uS+CiqlYkEhF50Um2OjNImoG0Wi0Ui0WpFlAmlFUGGlAAQDgcRqPRwO7urjhwMWOfVATTWk9l5gyY7FVPjo41Gg088cQTuHLlCiKRCKrVqkixAhBiHueWB4MBbNuWzQhL6nT5YlvhM5/5DHZ2duTzpFBJs9mU7+FwOAxJzOB94V7cv8avMxm0wZHwoc9BK6XOArgM4IXxoT9USr2mlPonpVR0fGwRQGbibdnxsbee6+tKqZeUUi8xw3O5XKJfTUa2y+XCzZs3JftlNttut5FOp3H+/HkJaMwmWYZlhptMJqX0TYIWS8hkdjMD9ng8eOSRR6Qk63K5RPWLtoeUwwRGoz/UyabudiAQwNraGhYWFsT7uNFoiMIYs/G5uTlUq1Xk83k0Gg3E43F0u12sra0hmUxOGYYw6AKYKrsnk0l4PB4kEgnEYjGsrq6i1+tJr5hEsXq9PhXsuEmhuQfHvizLko0MS+GUIXW73XC73fD5fHj00Udx9epV9Pt9lMtlABAbT26OKPdJxrdSSny3mZ07HA4sLCzg7NmziEQi2NzcFG9sriGXy8mxWCwGv99/lF9bAwMAH+79a3w+uYfdoyUbfMxx1xm0UioA4H8A/LnW+sdKqRSAAgAN4M8AnNFa/55S6nsAntNa/+v4fT8A8DOt9Y/e6dxut1uvrKxMZbkMiCw5dzodKaUym7p48aK8tlAoIBAIoFqtCpmJvVKO6FiWJSXoYDAo2fZbMz/2OhcWFrC5uSnKXZytdrvdKBQK2N3dlcDFTPr8+fOwLAuZTEZ0tqlQ5vF4UC6X0ev14Pf7pRxPURCey+l0Ip1OI5vNigQpM2Rm8A6HA4eHhzLCBIzIVz6fD/Pz8ygUClIF4CPL2MxoOdIEQEhfgUBAXLq01qjVatKn58jWpDdzt9uV0j4w2rAEg0GkUimpdpAgxzl1XgP/TRKc0+mUEnm/38fDDz+MF198EeVyWZTR+LPd3Nw0GbTBXeNe3r/GrzMZtMGR8KGxuJVSLgA/AvBvWusfj09+OPH8PwJ4evzfLIDlibcvAbj9Xt+D7kjMUpkNt9tt1Ot11Go1hEIh9Ho9YTozwFLwo9fricgFfZDJeqZq1/z8PDKZjFgXPvTQQ7h27Zpkm3TT6vf7Iq85GAwQCoXg8/lg2zZeeeUVhEKhKelNZp/hcBjZbBa2bSMUCk25RrHkTGvGZrMpmTBJahRPsW1bAhV70hz/onZ4JBKBbdsSTNlrn5+fl3lrZp4+n0/mmAGI6Mlkzzwej4uYCeU1vV4vvF6vlPhZQn+r9SXnwlnSHg6H4uXMcj31uvv9vjhgsQdPZjevpVqt4he/+IX0+9lq6HQ6qNfrd/Nra2AA4KO5fxkY3AvcDYtbAfgXALbW+psTx89orffH/34SwG9orb+ilLoI4N8BPA5gAcAvAaxrrd+R2aOUqgHY+KAXM6OIY7RTP404zmtb1Vonjul7G5wQfBT3r/E5zD3sZOK4ru2u7l93k0F/FsDvALiqlHp1fOzbAH5bKXUJoxLRDoA/AACt9RtKqf8C8CZGDMpvvNcvN4CN01quHPfYzbUZGBwPPor7F2DuYScSs35tM6EkNusf0geBuTYDg9OP0/y3YK7t+DAzblYGBgYGBgYGdzArAfr7x72AewhzbQYGpx+n+W/BXNsxYSZK3AYGBgYGBgbTmJUM2sDAwMDAwGACJkAbGBgYGBjMII49QCulvqCU2lBK3VBKfeu413NUjGUCc0qp1yeOWUqpZ5VSW+PH6Pi4Ukr97fhaX1NKPXp8K39vKKWWlVL/rZS6ppR6Qyn1x+Pjp+L6DAw+KMz9a3ZxGu5fxxqg1cgl5nsAvgjgAkaziRfe/V0zh3/GyPVmEt8C8Eut9TpGQgf8w/0igPXx19cB/MNHtMb3i3dyAjot12dg8L5h7l8z//d94u9fx51BPw7ghtZ6W2vdBfCfAL58zGs6ErTW/wvAfsvhL2OkXoTx429NHP+hHuF5ABGl1JmPZqVHh9Z6X2v9f+N/1wBcw8g44FRcn4HBB4S5f83w3/dpuH8dd4C+a+eYE4YUZQTHj8nx8RN7vWraCejUXZ+BwfvAaf19P3V/3yf1/nXcAfrt3DxO89zXibxeNXIC+hGAb2qtq+/20rc5NvPXZ2DwPvFx+30/kdd7ku9fxx2gT6tzzCFLI+PH3Pj4ibvet3MCwim6PgODD4DT+vt+av6+T/r967gD9BUA60qp+5RS8wC+AuCnx7ymDwM/BfDV8b+/CuAnE8d/d8wW/DSACkstswillALwAwDXtNZ/NfHUqbg+A4MPCHP/muG/71Nx/9JaH+sXgC8B2ARwE8CfHvd63sf6/wPAPoAeRjuwrwGIYcQO3Bo/WuPXKoxYnzcBXAXw2HGv/z2u7TcxKvG8BuDV8deXTsv1mS/z9UG/zP3r+K/hXa7txN+/jNSngYGBgYHBDOK4S9wGBgYGBgYGbwMToA0MDAwMDGYQJkAbGBgYGBjMIEyANjAwMDAwmEGYAG1gYGBgYDCDMAHawMDAwMBgBmECtIGBgYGBwQzi/wHdKItbSqsAhAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 720x1080 with 10 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display_num = 5\n",
    "\n",
    "r_choices = np.random.choice(num_train_examples, display_num)\n",
    "\n",
    "plt.figure(figsize=(10, 15))\n",
    "for i in range(0, display_num * 2, 2):\n",
    "  img_num = r_choices[i // 2]\n",
    "  x_pathname = x_train_filenames[img_num]\n",
    "  y_pathname = y_train_filenames[img_num]\n",
    "  \n",
    "  plt.subplot(display_num, 2, i + 1)\n",
    "  plt.imshow(mpimg.imread(x_pathname))\n",
    "  plt.title(\"Original Image\")\n",
    "  \n",
    "  example_labels = Image.open(y_pathname)\n",
    "  label_vals = np.unique(example_labels)\n",
    "  \n",
    "  plt.subplot(display_num, 2, i + 2)\n",
    "  plt.imshow(example_labels)\n",
    "  plt.title(\"Masked Image\")  \n",
    "  \n",
    "plt.suptitle(\"Examples of Images and their Masks\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "img_shape = (256, 256, 3)\n",
    "batch_size = 3\n",
    "epochs = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "def _process_pathnames(fname, label_path):\n",
    "  # We map this function onto each pathname pair  \n",
    "  img_str = tf.read_file(fname)\n",
    "  img = tf.image.decode_png(img_str, channels=img_shape[2])\n",
    "\n",
    "  label_img_str = tf.read_file(label_path)\n",
    "  # These are gif images so they return as (num_frames, h, w, c)\n",
    "  label_img = tf.image.decode_png(label_img_str)\n",
    "  # The label image should only have values of 1 or 0, indicating pixel wise\n",
    "  # object (car) or not (background). We take the first channel only. \n",
    "  label_img = label_img[:, :, 0]\n",
    "  label_img = tf.expand_dims(label_img, axis=-1)\n",
    "  return img, label_img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "def shift_img(output_img, label_img, width_shift_range, height_shift_range):\n",
    "  \"\"\"This fn will perform the horizontal or vertical shift\"\"\"\n",
    "  if width_shift_range or height_shift_range:\n",
    "      if width_shift_range:\n",
    "        width_shift_range = tf.random_uniform([], \n",
    "                                              -width_shift_range * img_shape[1],\n",
    "                                              width_shift_range * img_shape[1])\n",
    "      if height_shift_range:\n",
    "        height_shift_range = tf.random_uniform([],\n",
    "                                               -height_shift_range * img_shape[0],\n",
    "                                               height_shift_range * img_shape[0])\n",
    "      # Translate both \n",
    "      output_img = tfcontrib.image.translate(output_img,\n",
    "                                             [width_shift_range, height_shift_range])\n",
    "      label_img = tfcontrib.image.translate(label_img,\n",
    "                                             [width_shift_range, height_shift_range])\n",
    "  return output_img, label_img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def flip_img(horizontal_flip, tr_img, label_img):\n",
    "  if horizontal_flip:\n",
    "    flip_prob = tf.random_uniform([], 0.0, 1.0)\n",
    "    tr_img, label_img = tf.cond(tf.less(flip_prob, 0.5),\n",
    "                                lambda: (tf.image.flip_left_right(tr_img), tf.image.flip_left_right(label_img)),\n",
    "                                lambda: (tr_img, label_img))\n",
    "  return tr_img, label_img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def _augment(img,\n",
    "             label_img,\n",
    "             resize=None,  # Resize the image to some size e.g. [256, 256]\n",
    "             scale=1,  # Scale image e.g. 1 / 255.\n",
    "             hue_delta=0,  # Adjust the hue of an RGB image by random factor\n",
    "             horizontal_flip=False,  # Random left right flip,\n",
    "             width_shift_range=0,  # Randomly translate the image horizontally\n",
    "             height_shift_range=0):  # Randomly translate the image vertically \n",
    "  if resize is not None:\n",
    "    # Resize both images\n",
    "    label_img = tf.image.resize_images(label_img, resize)\n",
    "    img = tf.image.resize_images(img, resize)\n",
    "  \n",
    "  if hue_delta:\n",
    "    img = tf.image.random_hue(img, hue_delta)\n",
    "  \n",
    "  img, label_img = flip_img(horizontal_flip, img, label_img)\n",
    "  img, label_img = shift_img(img, label_img, width_shift_range, height_shift_range)\n",
    "  label_img = tf.to_float(label_img) * scale\n",
    "  img = tf.to_float(img) * scale \n",
    "  return img, label_img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_baseline_dataset(filenames, \n",
    "                         labels,\n",
    "                         preproc_fn=functools.partial(_augment),\n",
    "                         threads=10, \n",
    "                         batch_size=batch_size,\n",
    "                         shuffle=True):           \n",
    "  num_x = len(filenames)\n",
    "  # Create a dataset from the filenames and labels\n",
    "  dataset = tf.data.Dataset.from_tensor_slices((filenames, labels))\n",
    "  # Map our preprocessing function to every element in our dataset, taking\n",
    "  # advantage of multithreading\n",
    "  dataset = dataset.map(_process_pathnames, num_parallel_calls=threads)\n",
    "  if preproc_fn.keywords is not None and 'resize' not in preproc_fn.keywords:\n",
    "    assert batch_size == 1, \"Batching images must be of the same size\"\n",
    "\n",
    "  dataset = dataset.map(preproc_fn, num_parallel_calls=threads)\n",
    "  \n",
    "  if shuffle:\n",
    "    dataset = dataset.shuffle(num_x)\n",
    "  \n",
    "  \n",
    "  # It's necessary to repeat our data for all epochs \n",
    "  dataset = dataset.repeat().batch(batch_size)\n",
    "  return dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "tr_cfg = {\n",
    "    'resize': [img_shape[0], img_shape[1]],\n",
    "    'scale': 1 / 255.,\n",
    "    'hue_delta': 0.1,\n",
    "    'horizontal_flip': True,\n",
    "    'width_shift_range': 0.1,\n",
    "    'height_shift_range': 0.1\n",
    "}\n",
    "tr_preprocessing_fn = functools.partial(_augment, **tr_cfg)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "val_cfg = {\n",
    "    'resize': [img_shape[0], img_shape[1]],\n",
    "    'scale': 1 / 255.,\n",
    "}\n",
    "val_preprocessing_fn = functools.partial(_augment, **val_cfg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_ds = get_baseline_dataset(x_train_filenames,\n",
    "                                y_train_filenames,\n",
    "                                preproc_fn=tr_preprocessing_fn,\n",
    "                                batch_size=batch_size)\n",
    "val_ds = get_baseline_dataset(x_val_filenames,\n",
    "                              y_val_filenames, \n",
    "                              preproc_fn=val_preprocessing_fn,\n",
    "                              batch_size=batch_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Wc6js6Eaqlc47Algding5pwjpGzTBJof34HwcCWSn7IiD658STR0TJkGaGwqkwalcsC+bPO4m7/fIg1PseiqetofxXq1Wh8SxvVBsT5nibXsyO7Lre1vu9Po9d5yeKpRg3Tc8XigUCk8ZiyZacLTsRNW5zQ3xZCFHBvZCZHCGd9jAYStX3tnY69doDNy1/FlVHVWh3KbOWf04j9QK0zSdzK9y9qld7JxHYVGcR3t6baamuXAfkzS22ZGD0T0YXbPkEGFEnITKI8bks1AoFJaGRRMtoLfFDjvxTP0YqVuAhupcCI1TDkzTdJINXZWRTGlhZGHPDFm4TOtR5cqRU0fatJz2ISJOErQqHOnq9ZHtmTtfKiNhjmBrGyOCPlJTXVtLgiqOEctX7gqFQsFh0USLUxKMUigwmIA4OKLChERTIfB12t5ut5vldByByNpwtro+oI71en2itLC9WR+yeqdpit1uZ/ugbWsbLo1E1jc9nt1LvT899FQ32Mf9dP3LwOUzNWtpKheHpYEl9a9QKBRGWDTR4nCSrn7j0BCXj5iXO0mP85yom5ubWK1WJ/OknFKSOR2dI6QOi+dOcX+yvvSgyTc1RMr9y5QsZ/M0HW+qzODJ4+gP2+PGA9f17ofONevN9+JyqNuV0/6t1+ujDcR5HFprRyqlG5slh810QUShUCicOxZNtLbbrQ2rOWVhjsrFTtOF2rI5Tk6dGSkXek63uMHk70wR6zk6XIt6HAHN6hmF8TS8iVBpL5zXWovLy8sjJQyEBAlUeV9JnfPTCw26vui9dMfZBr6Ww528YjQLL+pYZePmyj018EKQ7HkqFAqFc8OiiZaqNBG5auEUGxeqc4oPwm8u/xLXrW1GzJtPpXVxX0Yky51nouUIiwud9drpkTEXknS2bbfb1F43dpoQ1BGwkb0ul5ZTnPT4KGT4EAK1FDLCPzLcvp2FQqFwblg00QJ6ao0L0UX4bVy4DlWvdD/ATNnIwllsZxZ64X64vFgOGcljgsH96qlZc5ylIyHIXTaHcGnbt7e3h30DGS5PFQjk7e3tUVoLTp/BfeT5VjrmOi5spypdjphm/VmaihWR980lqx09r4VCobA0LJ5ozZmfo+EfHAfZ0lxUri4mA5jHw3VnNs1VcHA8S2TKZKGnQOG821Qb4HlVHMJDyAx9QzhvRDQcKVmvXzx6PD8suz5T2EbhOSZGGXF26mAvJKyka0SItR1n5xLA/zMAP2datlAoFM4FiydaEX7lHTsEVaDW6/VhzhCudRPa+Vp1ngjNZbb0QiojxUvf9+xwUFWr1w4+c9nVahVXV1fx0UcfdSeQqwKkxIMnjavSp/1gpTFTSpDs1QHn3fE5CpQLLbNtanuPLGZh7KcIqIg6CZ7n5o2IZ6FQKCwZiyZaoy92JVggWVBv8AtdHWPPoQKscKmD7oWdXB/uG6Zy/URfXFJV9I3r0q2LuK3r6+uT9A3OmXL7Sop2u13s9/vDcV2FyPOiOPzIe1Zy/WqHC79q8lhnH48TQpCaAf8+IVRVGZdGMNAv9C0Ltes1hUKhcC5YPNFSsqQkyTmF3twtvk5DI/qLPrMJ5zMiw8fctYyR40bfV6vVQWUDqeF9Hxm6SlCJTKYOgajyvKqeSsX9hy18Ttvl+9Kb83Sf40zseLukzWZjUzhEHGfv5zr4s1O4WJVzKt9TRKa86h9jaWSzUCgUelg00eJEnL0QEasmvfk4nApBQyMjx8/t9cKCr1KPql88z0wTbe52u0O+LxzjslByOJO9tqtkDGRFx6rnaJWYuvlajqhwW2qXI2kRx0pWTwW7vb09jE+mKGbX82d9D9uRh4vnvT1luISkLrzL5586wSwUCoW5WDTRArKJyEpGWOFRp6zkwGVl5zacyoFzbq6PvvacUW/eS6b6ZNv66Oo9EC4up/OT3Fhq6K1HbnVMuA4lrdoX7Y8je7B3lJGcy/PigNbaQZHrhSIzUjwiGEuYm8XgHx3Zs1IoFArnikUTLcwBQthMCY7mk2KSEOHDiyAhujk04EgWyiuZeig07MRKD6tX6vR6alkWDgWcCuXCZ0xaMiLFfRiNBSttfL1LtMr1Orsiju+D7h+Z9VuJX0Y455BLVQiXhCJYhUKhcIpFE62IOHGgmaoxTS/mHWFPRCYcPSUkIzKZ+uHq0+MuPJWVAUBG1ut1bDabQ3908nhmt2tL5xqhnoxouLlw2RiogubIqiNyXPdqtTqarK6hRVYlNSy63++t4jenXTcWes3oHhcKhULhPLBoosXO3JEmXlmoSkPmEHl1XC98iPa5PiUsvfOZ0qNOnAkEL7NHniqedO/a6IUu8eoUGLZ/FO7sHXPklF9ZfdL6s/QY7j62dppOwimVrLThueAyGdFl9MhmoVAoFM4LiyZa2RwidoS8Oo7LOmfPoaGesqNwYatMQboPEBLVlA1ZIlEHJR09JWqOUjMKCaKOOeHWjFQpkemFNVmtVNKZ2cfvVRF1IdtRP1z/3yTeRpuFQqFQeIFFEy1VYji8BgfKxCDLEM9w5MyRB5TlV81fxW3yMYVTwqBgIe8Xt4H5aDc3N0dzyrRODoGy+od5a0rWMoI5mr/lkI1Xb17XfUNyfF9Gapveayh5jlTp2KmC1iNbb4PwFMkqFAqFt4dFE61McYKyhNWFIC5aNnOaqmqomoPjPQcfEScT9Ll+1wd28EyydII+r6DrbaIdcTyvCmOiebR4PNQWtVHHRNFTobSuXjhTr+Eko9ncOiVtrk2GKmBz1Cp9XerE9wwVNi0UCoVjvBLRaq39TkT8k4i4iYj9NE2fb619KiL+24j4gYj4nYj416dp+sNXM/PVoA6QHSjPceLVeii73+9PNjXWcCLXPRdQTDS/lQt3ArpC0vWRlRhHLJTIMCnpta3HMwKqKl+PkKEcK4w6F2vOuGahykytymzRMVCyDELHdWV5sFTl7N2HJeGp9eupfIcVCoWni9O9WO6Pf2maph+cpunzd59/JiK+Ok3T5yLiq3ef3xoyVQTvV6tVXF5extXVVTx79iyePXsWV1dXsdlsYr1ep0lMVZFxaRV686QcEenNbcJ57MN4eXl5tC0NEmz2SBb3WwkZHx+REFWDHEFx1zug/8jGjj837r02kI2eVT9O35H1i8kU1+sI0n3INNuQvZ4z7vvD5JHxTn+HFQqFp43H+Lb/8Yj4yt37r0TEn3uENmaBnS2IEDtS3goF7xFORAoAVjF6jh/X4j3a6ClFnEU9U6pQz3q9PhC/TAXTFYggi6rKZOFKJYuwa64aw8TRzUdzf1jZh/lkWC3ZU8yUmOpxtlcXCsxRy3S8en3FWPOKzx7R5Xv1jpGNR4eSz3cY78x3WKFQePp41TlaU0T8z621KSL+i2mavhwR3ztN0zciIqZp+kZr7dPuwtbalyLiS6/YfhcgG3e22BQBIFTIrwQVStUT3i6FVZOe0pId1zK8lY8LXfF7Lq/1gSipqjXHRtcu1+s2C9b6mOg44sPAeVacMPaszLEtjsBqqBLt4T2PRU+VGjl+7ePoul7SV7bnqYXa7gN+frL/i3cAr+U77Fm896bsLRQKTwyvSrT+9DRNX7/7IvrV1tr/NffCuy+0L0dE3H3JvXbwajzdboadHu9r5wiEUzZGzkKdKJMCDpeN9rqDmoUwIYf9WIljIolyUIpYaXNhRO5rT33J9q+DssPjrX1lu7gtqEHYwNnlxnJkUMe4pzxpvzJkhJDfZ4Qre24cHHl+6uB+sDIa8TINCYByH3744Zs10uO1fId9on3q6d/EQqHwKHglojVN09fvXr/ZWvvrEfFDEfH7rbXP3P0S/ExEfPM12PkguJAZkCk5DCZmWCHoVuQxlFhwWbevYM8WDndqH1TtQTtZNniut6eesWrGdqC+TInha2BHb8xRBwiWK89lNYXCSCXJ+vyqqwAdkXSEeo6y+bYJ1kNJ3ihM61RIlHnX8K5/hxUKhaePB8/Raq2931r7HryPiH8lIn4zIn45Ir54V+yLEfFLr2rkQ8FhKF1dxwpQFtbjYz0n4Qhab0NjVtlcPUjdgPQN2fURLyfCb7fb2G63J5tha8Z4tOuIm1v1x+ccMWO7+VolTxrWQ1sgWo5kuf7yGLOTV8fPNquyxzZn4U7XtpJ2R7r4Vef2OXLiyPKbwn1IFhN/ntAPtUoXjuh12u67kPbiKXyHFQqFp49XUbS+NyL++t0X6zoi/ptpmv7H1tqvR8QvttZ+KiJ+NyJ+4tXNfDVkv6ozp6pOF8rLQ9p1ygqH4fS8TtrXcIyGAh0B4wntWi4bC0dClJC68ww3AV4JiVM5emoUq2jcphKT3thqffisc88c8RgpiD3b9fgcIqVqUI+Avg64cXXnMzKozzCOIXWJU0M5xPyW8WS+wwqFwtPFg4nWNE3/MCL+BXP8/4uIL7yKUa8L7svcOUjnyEfl+bwjEOq8s1CTq8/Vw0Qvu56JTmunc7t2u91RPdwW3veIgl6n13PiVA33ObtH7fTa5naYOPGG0m7Lozn3N2ubicLV1dVhIQWn8cjus45t9mwqoWGV8THQI5CttSOVis9lNunz1CvztvEUvsMKhcLTx1llhnfqiZ7njYdHm0YDPFkcv+SdGuEImgsjcX4s7c9IQWGnyCkeVqtVPH/+PD788MOTlXioezQ+qLdHSphg9ciNU0fcZ7WTj2sdTAB0fHuk5yHYbrdH6oxT/dweiXx/nCLIKUfeBDBOrIIixYaSR7bZLXxwdWfP7LnnESsUCueDRROtkTqimKbpiNy4+UouZKWkqqduOCVI68WcFyhQXH9PDdP3+/3+JIym5HGk5GjfNScVl3OT8B2BY+feI6PaT3dNpkb26tf7Modccvmbm5uj3GzZlj9ZP7LPjrigH7oY4FXB90D/J/b7/YmKxT8CVGVjexyB4vOcyqRQKBTOAYsmWup4M6gqog5EicPrssupCRFxFI6CMgIS41QeVW80HcNHH30U19fXRysSs74wIWMnz3NueIxUvRuF6PicKk8j0sfXavJZV6dew2PlyC7XrfdJ85NxaJITzwI8zm48HHgMtG+jMbov1ut1XF1dHepFGFShfeNxVqLqCLRT7bh/hUKhsHQsmmiNMoKrE8ycs0Kvd+ed0tVzLkyOsNE1O67eHoBMEFwWe11N6FQ512cN8WVkisu4SfVZG0psMhsyRUr7oWHbXp+4XVe/U560nPYfKUBw/+aSIq23l3j2dYDDk5eXlwd7I07D1Y5Iu/AsbBstLtBnqlAoFJaORRMthHdcIsyMtGSkgs+zyhPhwyVc3hEzVbM4NObm/fQIhNbjbOBJ8ZoawV0HwsDKjAuF6vhwOyOywaErOHBVp5yNXDe37+5Dj+CpYhVxmjYC0NCdIwoaUnPPFdfhxlyT6uq4vyqYZMLW9Xp9IHhukju338vRxv3IPk/TZNNAFAqFwlKxaKLltrbJnEA28X2k8qCMU1YUqsZoNnVeJadKRi/EBgeoaSGQ54jVJoSHeqpDRhQyp5+d6xEDHYtR2Qwun5bW58hzRhTmECK1P7snrn/86urNlMfXSbJQP4ghQoh4hpwqpWFjt3USt8PPnN4fJpSFQqGwdCyeaHEoxDlfLqvoqSHqzHVCdG/FGUPr1hAhE4NsQrQjEkh4CrUC2wzp5HhtB/VltnK7Ljv7SKlwocDRNkRqQ0Y4uQy/OvBm0y7BLI7fh5DxcadmZVsYOfvnzKW7D/lSuxAuxIILVrrcDxM8f/iBgPHTtCM9Is7va9VhoVA4FyyeaEV456fhL1UP+Nc3z5mKOJ3HgmtcG1q/JnHUbXm4jkw16ZEZVsH2+31cX1/brPhKihxxcO1wmE/758aD29KUADjH2wyhTI98ZSRTz/Wuz+aSMVRh5LKO3GYkZZT5fmTrfY6DBMF+IFNiOU0FVKrNZnOSc40XZ3CdzhZ+xjQBr7OjUCgUloxFE62IfK4VoAQrUw/UQfQ2WO7BOejseke4svr4elYfUCYjCq7vGoLUa5W48UoyFxbS69QmHUeuU/vlFDE3Dq597p+7d1p3L1VBRi64PSaTDyFZc8BKFAiTtq/EprWXaRpAaHk+ntbtxpj/H1z/XEi8t+ihUCgUlorFE62IeQrQnOunaYrNZtNVXJxTx56Fbo9VK7ZxAAAgAElEQVRBDl/huixMxWQjI2gI6YDwYC865ONCfS405EI6GeFy/eiRF+1Xj2QyQRiVVfRUtgxM4Jzq6e6Hjl8WyntMkqV7DqoKmz0rOuFex1oxUq5GZVVFrcnwhULhnHAWRMupRIrsuDpuhFMyx8pA2ASZ2TFPSlUT58B6YTvXLggW2trv90fJTtnhaugvq9uFmvCqBEPDtDoOWbhR21Ny4867ceH3bq/I1tph7OeEDfW8Iw6MrN7HnvSNe351dXUI+e12uyM7VXlyyqNT6ty9d+PaU4Rdvay2FgqFwtKxaKLVIwk8LygjMPp55DTVCeFVM7TDybXWDk4R5TUUoyQis+/i4iIuLy8j4uV8GpA4t7/hSF1CWU01MSKXXJeSu8z+TPHKbHN9yOzGZ33NlDZHGO+renI9jwm2abvdxna7PbEH7zFvK+JlmFD75e6PCztq273r3ObpSvIKhUJhyTgLopWFN4AsBMKJI7PJ39kcFa0Lf+zgRuqM2sb1OFsdwRiF6FybXM7tt5hd69SqXmiNHXIveagej8iTjeLVqTXalsutxpijWgKve4ucHvTZa+1F4lEm9K7ser0+IsxOWdL7NrqHEacrbnvErJSsQqFwblg80ZqjRLgyOKZbqWR1MDRDO/+yzxJCuhCLqz9zore3t4cVZJkKpO05O5Qk9VZust1KPhWZipb1bS5ZURsyYuBCaGqThnF7z0UWUnyTAGm8vb2Njz766OTeqFK33W7tMzj6kZAdd6SM4c71QsyFQqGwRCyaaGkYi51r9ks7+yXv4Jw2T/RVFauXq+tV+ufUHt78F22AAGL+FjtLvb63lUp2HY8JX8cELlsUMNcBK3Htta/14X0v+znb7YiD+/ymCRa3nxHWTJXK+u3GDMfcbgVz+qzl3tY4FQqFwtvEWRAtXkkHJ+1yDOl1zjm50B2Oc1klYZlzGqluLnymyhPOOYIT8XLysWYdz2xnYujqBZnspQPIVDUlWkwCcYzfu7CnjnEWXnRj0SMJjvhxO9rW2yYObAP2WeRnl0mYzhGMyBc7RMRR2JzLayjd/WhxCzxwvbZTKBQKS8eiiVbEqUNk5URTK+h1/KphGIWqNrzSDmkWbm5ujlYt4rxr24W99HzE8VwlLs/kivvB1zsnqaTQEcssHxZf75x47zo+nrWr9WfXcv3ax5Eq5cKf75Iq4wgyZ2rHPUfCUe1f9op6uC4QaVVGXdjQ2Zmdy4h6oVAoLBGLJlo9Rx4RJ5OinSPhunrkp7UXE5J5bhZvaK1pHUbhKafEaLvafkYOtH6tg0mQI0lKBnt187XqjHvqXkYEM8UqW7XWG4eRCuXI5WMrVz1C4ogwjkdEbDabQzoPHNekoCMixPXzc4utm5gMOSKrdUYc7zHqzr8LamChUCi8KSyaaGVJNAF1IrrKUOGUJbSj5IfJizqz+ygkGibj43O2WFG79TynflBb8eqcfE+RUsXDkSUlYU6h0n64PFVz6hg5dheenHPdq8KFVvl9pjji1a2Exfy7bI5d9iOCVVDOwcbXu/8XhiNWmhW+CFahUDg3LJpoqZrizuOV99hzBEHri3jpGFerVWw2m5NNlrUdnR+jxCtTYnoEIiKOVLSeauDIIF7n9JM/8/wd1+4otIR6OPzFzt6NwXr94nHle6Qqo47NHGKofX5VMpARN7UH57Lx7YVHmTDxXpz7/T52u12qBOo9UZUxI++j5zF7jjOi2CPWhUKhsCQsmmi5+UnuC56Tl6L8KHs4nCG2uFE1iesBIcnyN2VtsG26bcpI/cjUH3yeq9ZwWQ0nqtPsKXWuLSiIIG0RcZRYE/1WMpfZmNnhlL6s7w8lWRx24xBa7z67tjA/KrNV1UKEpnX/SX7/Ookjk2z00fVFCdpc9bJQKBSWhkUTLWAUlmIClG1mrPWt1+uDwpKpIjw3i8mQqhmZKsPtOdUjIw9MjLJQYjZOSlh6alsvJOSULlfPaGxAJpgMO+LnlJes369bveLFD2xLRD9DvHsO+FymdulrT8XksiiT2ZKRY33NVq/qtUqiC4VC4RyxaKIF59FbXRjx0tFtNhu7ZQiX4/eu3DRNR3sMzlEUsrAL6nMTklGel/Xz+VF4pwf0i0mUTnDmTPQox/3muhhuE22XJkIddG+yftZnR6zuOxYKd11GFDn/VG+FXUaaXDlNfcGqoFO4euqYU8r0sxJpzSbP/wM6NpnaVSgUCueERRMtDm+oM8sUlp6zU4fOCpgqWUzwXCiLP8+BhqVGDpnf6xZCqg6hnqz/6pD5WLY5tS4qUIUnI0GZ4tUbp4eoUw91/k71Abnhe4SwMj8P+sxlhE0x93lRNVbHn4mT9kHTniAkjj5ggjzqHYX/es98oVAonBMWTbR6v9KzpJkRY2eGeTR4vb29tfvMzdmEOiNz6pix5D5LGNlzxnxeCZa2x0S0R774vbPBhWMzQjSHhOj49MDj6ojaHJXxPtB7zmPIfYeqxX1Vwon5fvjsQqY6jhxmRHuwwW2hpIqhPgMgXkhPgmswfy4jWtnzMrqnhUKhsGScBdFyDoDLABqicwQC76FiYJ4WKxdApjY5589OUa/lfjiVyDlerifru7bjFLMRsvHlxKwZemRKCeF9MFL5Ru334O6bq5PV1F7ITuvVeYJuDNgGJnYRcbQFVNYeP6suxMjPuGZ5h8qF59+NgbZbBKtQKJwzFk20nIPLnKQLrbATwq97rQNL6TOHmNmT2ebCLOwYdasaLaPH0CenUDm1g6/tgckQkwStaxT2036yupht8dOzb0SEUDcrN70+uva436hPSbnW3Xs+9L4zeXKEk49rW3x/8SzoOI6eNe4Tl8UxqLdubLJxLLJVKBTOFYsnWoAuu1dC4JyOflbC4ibZZw6V63KZ1pV0aajHKVKqjLHDd8qXYq4S4RQ93ZaFr3FkS6/LoIqQkpoeWXHnFZwuwymLbK/L7aX1jO4tbMrIkZI5rk/DdWonq02qqHK4b5pehi21flXHuB+9OV+uj9oPHk8tV8SrUCicCxZNtBj8i1yVpYhj56rzoDTLNr9387qck1ECMnI0TJ54ixW9XslkxGm4KmtblS1HCOaCCZFTY9TejMTpdUpkHBnma1S9UTJ8n1QDrAhy2ziuCVR7Y4PruF9OVVJVVVVJNwZcDlASx+SSj+n94fqmaYr1eh2Xl5dxe3sb19fXh3NcLhs7bkPHgp+7QqFQWDLOhmhFHIdk3OqriDhMOucwoVuaD0ehE5wzKAnBMUeG3LWaKbyX78upH4BO1kZfHLLjc8txSCsjS07R0XPOXlWlnj17Fre3t/H8+fMTG/h6JZVZH5TosrKEP34uRvmi+P70FgdomC4j1TwODu4Zc/fckSy2BXPtXBmnVHE7er/0c6FQKJwDFk209Ne0OhUX/tnv9ycKhVN4MgelDlydHDt7tdVB7Ve1g5GlEdA+IKTklv9n7bKCs9vtDmS157AzQtsLM7ktYC4vLw/tOtJxe3sb2+32qJ+sGjnMUcm0XzrRXG3IVE2tO5s75cieUyNVUXX3ku1TdXCkvmkfR/thZvX0lK/7KqaFQqHwVLFoohXhnShe1+v1ScJPLgdSpOd7v8azUCKTrJHTQf0u43hWT1aH9plfNWzUC0mxsueUJhfmc3X3FJQ5ZBPjoQsTttttSnLv49Q5DxarZkjGylsEufq5n7p9Eo4jZULWdx1PDVnqfVeV0j0bStr0OGwY3Zs5553tDLWjUCgUlozFEy0FHCA2gdaQD6sN6ogifLhEl8D3QjFcR+b89Bo4Zhe+cg4rC4Nxmzc3NyfKnVOT+Ho3ib9H4nRCezY2StLU3t1ud9IXRx7mKC0ZmNxyyg7Ouca50nSsXP+yZyezT7Ptu3FRUsQhzJ4qyeeZHDtbtG+9McMY6XV8XolrL7RdKBQKS8OiiVYvFIYve1YX1GGqgsNOXVdo6fWuTXXGPZKkG11HxMl8GVWttL89hahHfLQuJTK8Gi8DFEMmhEqM5pBT7QNCZQjxarlMtcnqBrFar9dHfXJEjp8bJTxuvLmMbp2DvjhwOVZINXSIujOi58bE2aTXZX1wzxPbx8+F1qv1FNEqFArngkUTrcxJtPYiFxCrB1w+Ik7IAZwVH+d21Hk6ksW/8B0BYMWBV7qxDZkiBDjnrU525Fy5T0oQVqtVbDabk30NHelzDjd7z2PjVDIeB1biMsVnDkCyLi8v4/LyMi4uLmK328V+v4/dbneSLqHXl9HcOUdUeM7XiOhkYwboGPBY9n4A8LiP7NB69J5l5BvHH3qfCoVC4Slj0UQrQy8kE9FXCfh6Lq8ObkRmnFLjQoqjMIv2pbc9iqo1PcUL0AnWCDm6vrv+ZuecijhS4FDOZfDvEZFMQWECdH19fTJ3yqlWGRxpHo1zphJxqE1JUw8Z8eWEuxnp0/7ysYzEuZWRjow5+wqFQuFccFZESxWS7Fe8c9R6PrtWFa+eo404nvDOZIlDVE65QN2a9kGhaphT95zzU5sUrFrN6WfmfPmzG7Pe2LMdvfpd/3Ddzc3NYQ4Yj3mmAM2BPmeoQ5+rXjvZalAGq6c9ssokm8N7vezu2T0aET4XVub+jshioVAoLA2LJloc2liv1ychDkdkMqecqVrZr3/9nLXBoUuUg1owInxMdJyCwsTFhXy4jKsbdqCcqlsaWuNre3DqIZ/TtBs82Von8DtipHAEm9vU/GrT9HLuXla/I9oZscpscqHV7D648Z1DxgBWWp1KOsdup1655Ko455TMkcpXKBQKS8OiiRYAx4nEkzr/CmBHq05MnXBGyNzn7HiE38zXOVVnK15VQcicqCsLG+6jMrE9GWkckYzR+dVqdaiL99a7T/iO+4H75wgS+rZarQ4T+CPiiGxpXW6MnbrG12kdbIcjS470ZM8AX89hR17QkSlNOg58Xu3T51GfpWxeWxGrQqFwrlg00YLzZCeDxJYRL50Wkypezs8EyyWZVCc0Il/OSTpHy0oVQ9UAXKPOzTnTbLJ25vh5bJyTdbbxHCCQWj4G+5WMqTIH6H1RUocyc1U1F7rTV9xfJXa9vmv9eNWFBO5ZyJQxV2dPacrs0DFB3jin6LItSip7KqTaN0fd7I1joVAoLAl+fTmhtfZzrbVvttZ+k459qrX2q621f3D3+sm746219ldaa19rrf1Ga+1PPabxI7TWDkv32WGoowFUrYKDB2lgwuGc08gZ6bURfl5QLxyF9wijgcj02lE7NBEq6nO2uP0hexnheXzd6kCnrKh6OE0vclbhz/WxRzrQP9y7jIho/3k870OouN98TEODaCOrn8dOiScrchnR4a2BeNx6SXeVCGLM9PnI/je4n65P/P8zmvf3WHjK32GFQuHpY0i0IuLnI+LPyLGfiYivTtP0uYj46t3niIg/GxGfu/v7UkT87Osx82ForR2cDpOUub/O4bzg8KHGINmpXqN1uzq1XXY+zhFnSoGrk+t27auD16zzWodz7Dw2vb5i3DDu6/U6NpvNIemqq0Pr07YcccH92Gw2KaF2tmniTKfYZWObkWz+6xFtQJVTfiZGWxdxna79bBy1z0qWmKxpPUyS8X+lypjbpojHGnW8Yfx8PNHvsEKh8PQxJFrTNP2NiPiWHP7xiPjK3fuvRMSfo+O/ML3A34yIP9Za+8zrMvYhyIiKOiVHwljlgGNh0jVypNwWn2fFhRWqnoPUNpyyof3R846osYqkfVEbVJVxfXdtrlaruLq6ivfee89uYaP2Z+RPyRPmVDEyktIbB7Zfyace0zHJ7oEjNJkaxTb1niFHyDJCpzZy3fyDgZUmd69VWdNnUp8597/Gdff6+Fh46t9hhULhaeOhc7S+d5qmb0RETNP0jdbap++OfzYifo/KfXB37BsPN/Hh0JxB7pc0HAo7sIzY4Dg7cv6ljvLqiHCcSQa3z23xvB6F1u3OM1ymbkdeHFRp6qk83L7aCNVJE5z2bOC2dOxZFYFSxikaXD1Zn/m+cb1qD98THYeMqOtxnhulCxdGYdGMDOOckv4RkeEVuNnzpmOudrmxcj8K9Dq+p7qp9hvGk/gOKxQKTx+vezK8+3a3nrm19qV4Ic0/GnoOp6c88bWOPPTay0iWqh44rvvUOaemGxyPbMD1Wd04phP/tR5nT6Z+ZWQACxBAhFRlcc6a3/cUoJubm7i+vrb19MbFvWof+TMTIb4XOmeJXxlzlDpnr1PKtD+unjkEE+eZiPfGL/tBoGUycsX2jJ7ht4wHfYc9i/ce06ZCofCE8VCi9futtc/c/RL8TER88+74BxHx/VTu+yLi666CaZq+HBFfjohorT3aN+9D1QIXLtL3Gg7JnKGGjJw64ohMj3wp1Ik7wqLISA2rLE5J0n0YXZtqd6ZaZcj67AhTj8iOxlrrc8oQzrnEslk/dLyh7Lm2HAnu9Z37mZF5HQt3vQsBc9nec+PSifDE9+12e3L9O0awXut32Cfap96pzhUKhXcHcybDO/xyRHzx7v0XI+KX6Pifby/wIxHxjyHPvw3AEenEZ1cGv9L5VctFnDq0jNi48roCrDcvS69VwsDtZ0QD73lela4sVKefrVhzUPtGK9ycfa7OrF9cZr1eH6XuuLi4iMvLy8NCBSV6o77wePBkeZd2IuLlPonr9TrdHFrrz5Ktor5Rln9nL09ij4jD3o3ux4PakpEslOHXrP3sHOdB4/LvENl6Et9hhULh6WOoaLXW/mpE/GhE/PHW2gcR8Zci4i9HxC+21n4qIn43In7irvivRMSPRcTXIuJ5RPyFR7D53sjUnkxF6tWhxxBG0voyFUvfK1HRY3MUE1ZeeioTt+9WTYJYZKoRXnXuG9vq1Bk9zvXPJWEgwHDgTDQiXhBEnAex1PoydUbHz00yx2dWpZSUMzHjvmWKlTvObTMZyu4j4/b21s5V43641ZYZegTe/dhA/bxhOyukrg9vAkv4DisUCk8X7V34hdkeKXSISb8RPgyjiT1VTXGToDGhfaRGwenjOJMYrjPbr47VNXVUXAeXdZOsHflxyMJEbA9sdQTLkcIeyVFiiDHD2Oo1TLQ2m83BoUMl4rxZmqKg1zeum4kUPwu6LY9u0AzoRPceYKvO89KcU5kiqciInKpKmmphZOPl5WVExBFx1THlHxVZChGnoN3c3PztaZo+P2vA3nF8on1q+uH2hbdtRqFQeEP4temr8Z3pW7NCEIvPDN8LqalyxMpGRJwQMT7miIWSAdS33+9jt9udOOJM/WFwaCgjjWqLErNeiEf7p4DzR5gMqS7UFrcSk+tQRcjZzY4b/VXlTbfj4bq539m4ZuomE4VMzULdIEfu2ZobLsuIMz97bAsrZ7pazxFfbsedm6tWQSHLwqOq3CqBdsriHJJXKBQKS8GiiVZEHn5jR6uhIkfAtE6U0zKciZ7hlA5HrJTQqbqW9YHtzZQlpyrxeT3H+b6maYrdbnekkGVOWwmrtqV9cuQIaqA6clVGVLHLiLALdWm/sQqT60HdbuyU+LhtgniuV0aIuC6oV268MoWS6+6RLjcWPA74P8DcN51PyLbyM6erYrVv2XNbKBQK54BFE6056gIcB0+sVkehdTinDXDIikNXzvHwqyMr6mS5X1lf7uNYXTn311PGsvYcYXRjoeEnHg+2ncceBIY3fR71u+fce7YqwVA7+TyHA11CV+0XjwPn2drtdnZs3NwqJl5qW3Z/1C5cw2rs5eXlIS0Hhze1HfyP8V6gc4jUyK5CoVBYChZNtDj8pL/aI05DGC6UkqlBeo2GfHDMKStKXrQOnb/DNmiKAIXOK8tCXGo/k03tl6ooSgq5biZD2q+MtLn6VDnT0JOrJyPH2p9eegomU+4+8lwuJGLlfGU8z8yFit190BAhzrNS5eZVZYqhQ+/51fu12+1iu93Omg+GOrIfMu7+FAqFwjlh0UQLK9E4/BVxmiNLl8hH+FWAGblwUCfIxIDtcNe4SdXsDOfMv5qjKmQqjZI1VUxYVVIHi3FTUuD6ievW63V8z/d8T2w2m3j+/HlcX18fjb+Wn9Nntt2RuN45Vspc/RnxxQR9boPL94A8W5gMz8qo9q3Xd0e+Mjgy7MKyfNwpuE6BVKLuyHqhUCicAxZNtACoNZjIrfNlUAZOwxGgkZLASpVTkjIFRW1wbfbCQS4UNZf8MXlTx6h1cx1KghypyOak6WfkfXrvvffik5/8ZHz729+Ob33rW0cbFusYjNQbp36pasPlYEdEHMiNm5PEhN0pl720Eo64uc94Rnt90vF0ip97LrJr3XgoidR6Rv8TmoLD2VgoFArngEUTLayWw5e+bjjMjhGf4ezUkTiFKVN4HJxTzUKYEacTq1FO7eBwFjtKZ8so3LdarQ7JLjl0pKE0dz3bnSlazpGj3e12G3/4h394UJPcpHfuQ+b8s/4q4VKCiNV1jnTyMcylwipS1z+2FeFYtAnFy12jBEkVN0ewM/LmwpEujKn3jn8suLF0ZJ7HlY/xM+jGvFAoFM4BiyZaEWEdAI5H+DAdOxN17Oy8QOQ43KT1cNjNta/v+do5DokVlsxJ6njouLBzRriVy2eKiHPyPE6ZHWgbjn2/38fz58/j+fPnMU1TbLfbkyzqzn6n+qEfI/D9YFLi6uOyWHmZESS9lu83T+LXa3g8MlKj904Jafa8uXHk5wV1QtnTlY+ja9GOKsEo48KORbYKhcK5YNFECyQKCSA50aRLAMlOKSM/mEOD87xCLHO2PdLBZV34he3KHDj66lQk144SCu6/zjFy6g4+a1JNtY3BSTi1z/v9/qgOdw8c+c3GmxPF6nm0k5FJVjgd8dEFCj0yyWkSkC09I/ZKyPi4I7RMhOYQbL1eP3NdUO143JxKqupl74cFvy+SVSgUzgmLJlrs5FS9YSVAnQgrMuqsWU2I6Ksnzsk4FUHLoozOkXH19giWEkDn4Ng58menSvXCappywvWR6+mN2as44p4Kxsgmcbs+QL10xKdHonUuoIZDR/eU7VFi6+zQcHOPBDooCWW1D3ZlZNgpXErAUa73PBYKhcLSsGiiFXHqtDKlKqLvNJV8MUFxyhi/ch0Z+XIExq266xHAkSKnChD/qRPNHGiETyGh/XVb9qiD1T5nJKtHfLXPGo7L1B5tz6l8OMf316lpDkhaqzmo1Aa88v3uke/svnN/OUHqHOKKcrydEdvllFC9Xs+pDdznkcJbKBQKS8KiidZ9lBQ9536xY2K9I1jq0DL1CHVltqjK4Zx0Rhq4DoTqcN6RNm3XrRRzNumxzOHDBl7tCUfu9nBUezLFR9t3cPc+IylKbDJChPcjRQYEKyKOng/FiFSq7e75cSlItI7s2XZt63m3j6azl8OsfK+13dF9KxQKhaVh0URrhLlKFiephNPJyFWP3LEjZ7LRC7Gok5ujBDiS2Nvupqd6OCedrXy8uLiIzWYTEXEySVvLM1HVPvM4jciCEhLXjutP5vTnkgFWHrleJuFKjDJFTutVJa6ndLFCpPdXVUu9d25stF9OGePnCZ9dcmDtV9ZuoVAoLBmLJlojp+m+8Dnc5ZQnp2RldfFxVYD4HJwrO7lXdUbqMNE3JopqA6OnuDkix+3ydixZTihMus9UqxGBUgUH86iU6IwcvOsnSGNvoYTapyk2nPqkREbtwfwofvYydUgVSNeu9psVR/e/oX3gevjY5eVlrNfrQ64zt0AgG/ciWYVC4dywaKKlma97ISA4akAVJazyUmXAKRIOLqQDG9jxOafZU2/0GCsRmjcMdo9CX9qGGz9HFvGnE+MzW92Y9YixGzscx/1DqBJjkI0PKz4uZNpTfpSkaPlRXxxBBTjFBvqraRMi4kgRBfHXyfejZ7EXDsS1Lg0E+q+rE6dp/qrMQqFQOBcsmmhFvFSoMsc5CnMAvOpMw10jNQhOCci2M8kctto0hyhxv9VGJhmuzZESqOqc1j0nL1mvX+4czjvVCPeFnXw298sRL1aPtEyP5Gbj4TBXMXRqnAtPcr+V2Dgi594zUXJleA9HVsOQP+76+jpVdpUkan+4/kKhUFgyFk20XM4ihXN4Gn7icuzYXGjRqWg90uLq1OvmkCxVd3S7mTlKxwiuHy5UFXGc2b4X4pprX08FwnHObwbildnLYCWoZ0f2rFxcXMR6vY7VanXIGO+unaMguvs7VzXVc6pE8XkoWi4EyWOhfbm5uYntdnsYX0e0HCFke0b/D4VCobAkLJ5oRRwrOIBzrL1EkpnT5bpdGxza0eu0Pg6/uDLZMSVXWf4t5+yVTN7XETK5cW2ywuVUD3zukQfnsBWcFJTLjq5Tu6G0ONLrQpdKUDizulNRe89bRrS4DjdWmnx1RIh1bFSp1Tb0Gsy9y56t0f9KoVAonBMWTbQi+soAkxM3n0ffj8gAl+NJ9U4pwDGXsyib/9VrNyN6XLeGbpzzd45Y20N9CCOtVquTBQLOad/XyTp1SfvA5UarM53qwjZmxM/dfw2J7Xa7A9ED+eypk27elc6x0razOWfZDwmew6X9R1tMLOeSXX2e3JgxsKF7oVAonCMWTbScQ1VS4hyE+zXfIwmoS5e245qLi4ujzYQz4uYcfGYjQ/fJy5w6Pmuo7CEKBPo7Con1VCu2z9XjxpLHunf/eqQFdYAgsoLoyJ1eG/FSydM9GVmR1Gvd8+E+8wpKt1WUgskU2uGVk9kYOIWsp7gqYXTj665TG9y9KRQKhaVi0UQr4tghwPkga7dmr1Z1wIVh2DmxQtDbXiVTd3iCvZZlp6WpBrgN7hPK8CTmTBViRQPtuv5mihzXo2ocr9DkfvdI23q9PoSkMpWR+5T1Qe+LU5Mw9peXl7Hf74/IUm9On95TJezcppYfERy2D8+S3vfsWVTgGcjIktan9qvd7r4p4dKVpowsp1ihUCicAxZPtJyTgBNzzpXJC4hYprio42Jn0gtFcVmXvd2Vc0oV3sMxs+2OBKC8c7DZ/o3avjpltYfH0KmB2RjudrsTm9viIG4AACAASURBVBxB0vuJ+6NwpFBJGTazdirNiAhkBMeBxyMiLAlicNLXkS36zHE/0C6veEWf5yi5mWLoxkjJmSOefH60SKVQKBSWgkUTLf7y15xSvRxCEcdOhJ25OqlMZXDqmFOvHKkYhVUc6WNCyFvgrNfrI4UDpEYzt2dE0rXLCqEqNNy+qoJoT3N8sbro2s9UOe67YppO83lFxIF0cDLVjOQ6osr9zVRARy45nIjrnX24Pz3C58ioHu8d65Xlfrt+uf6p8ujuET9jpWYVCoVzwqKJVkRfiXHl9LwjPc6BZMoRHGovt1TP9jnnWJnb7/dHyTu5b059c69ZuCgbl0wdmabpMFmey+icMa1zjoLjbGXClIXomAz27nOvrzim29CM6uoRWVWAevd+7jPD/Wc7MTctq4dtcERupOa5Z6HChYVC4VyxaKLFJAtKhq7AUkfiVtBleYYYmcLF5/TVOZ9Xdf4gG7yZM/rNygpUJLVbM8m7MXIqlYLJHdrkJKpuBV1PeXEkZWSr1qvKEl/XO5YRQG5T7weHcrP77BYljNRMLqNj48h+xOkKyWw8tY9MSvmcI+wjFMkqFArnikUTLUa29Qw7LhzfbDaHSdK4lstH9EN96njdvntqh/usyMJEGvKJOM11lCWWVOecJRfVcKHa68ZA+5U55/soJNrXkSqjNmXlud4sc3/Wb0eONDO/64v77Pqh9mXn3Pnb29ujFByYo+XacfWwSphdo2SvQoSFQqHwEosmWgifzfklD7jtdTKCxte70KQ69jlql7531ygpYNVOlaoIv5l01iaXyfrYG8Oec80Uq6yeUTtq/1znzvfFTaSH+ulUTP6s6p6zMyPZTOicfWir9wwpqXE/AvCKbO7ZOHB5bjsjTqpujZS4QqFQOFcsmmit1y+6p0Qrc8ZITZApRaqisJNxqR3c5G4N/WTL952Tz0gX/kb7JGZpInQMMvKoDp8nvWfk0jnizCln9wZzzlhdcQTVkQJHgNU+JuOjUJ6GLF0fRnDPEp/Tvrj74dpzY5wRvTlA2xh7XrHYu6ZQKBQKL7FoosWZsR3ZcBvesqPQsA+cn6Z/cM4vc6Ds1NkJ9lQR/jw3nKXpGu7jcB256zl5VXVUZXHlekqIqnERcQiD9vI1uTGZU861767L7mlGRt14jVROVc961/dIGJ5vzNVz9Wdj4Ihy1icdhyJahUKhcIxFE62I07lZqnRkKlHm8Nbr9SG5plPIMkeUhW0yZcZdx6vcnAqmypKiZ5uOxcge7XMvDOXqc8TR2edynPXayOp1KiXXOVok4Z6hEVHM2tRrewR29DxlxEl/YGQ2uuvUVs2cfx/7CoVC4dyxaKLFITVVWDInN5prgknymZKl7x1J0XQPPYKUhb4cQeLzHALtKQ09Ypb1jcvDoXMYsRfCZKXFkSxHiri/vT3zMnVPbVLbNYznSGZG4rS8PmOjce0RHHyeQ7b4Wg0b6lhoO+750OdqDpkuFAqFwikWTbSwya/LY+WQOY5XDUVFHCsz2dYyjmTwObVVCQKfe6gTVEIBUtQLGWmokOvSvjgyg8+8nU/WjrsWx5Tc9MbBEUVVq1y+r/uESEfhVmwB5BTFXj8z8q796xEjRyCztnsqpraZ2V0oFArnikUTLXWezmFn5EbRUx6U9IyIj1OmRlDbeEWlWyk4ByOVS7O3sy3o03q9js1mE7vd7mjj7KxuVrN0r8lXsdkpNHy/ndoDuKz0ES9DZuv1+mTOm5Iqbtsdc8qSI00uZDmHMOI954sbKVXZsTkhzhE5KxQKhcILLJpoIXzmHC4Dqw0j+iGyLHSk1/UckwuHufrmhPKUJCqB6/VjpHREnG6czADJQ76uTPXgelVFYrtVTcquc+SjRxjV/kyFc2RI+5HdKy6TqTqO3Gy3W9sWPxds+5w5V9iU2z0XzlZNqNr7AYFjPUJVZKtQKBSOsWiiFeHnvGTzW3qbOuuxjGxljlgJAx93tmj7mcPTzYqxOk/byMJ/I5UCKolmdWf1SvuujnukJI7a5/fZ/dOyjiS4FYsYP86ir/XiucAYaCiax8Zd72xzr3yeySi3mxFrd91IBXNZ63XcHEEckcpCoVAovMSiiZY6BaeeZCkasvqcs1cnysvqWaFwas+ckI1e4/rnFB6uw5GITOmALVkYy9mYkUOeOwQymxGSrP9u82q1sUcqQD4ye92kcQbOc5Z17adrl+HsGymL3D8lcz1Cr3Y7VZbDzty+qmlM2no/BAqFQqHgsWiiFXEcImKn0VMf9FqUwWedJK3OXpUmrYuhuboYWt5lLHd79+HPkZO5YCVL23FO2oHnePG4ZSsHMxs5YSlsccRIlSo+f3FxcZhPdnNzE7vdLiJO51vx2PH1Oh7cnobgRuPt7M1IL+9bqSskszAo1+GUNVVB+Vymkqlt2fNcKBQKhWMsmmixQ3KKD5ebUxdelWC4MJU6MC7bU0/0HOoGUXCpJTKlbI4jdGFGfp/tfTiq2xHcnnKUkVZWpGCPJprtTap347Fer2OappPwJ9ulZEaJs9p/n4UJjqi58hlxcisM1R7Xb5wHedO25vwfjPpWKBQKhWMsmmhhI92eY+uFf+5DyFarVVxeXh7N9VH1JSNBI4eM9yAGnN3eOeP7wBEfJTMgONnqvF74TkNPcwiajg+HwFprR0ljoUxxqM0pXhg/KFM9YgfwiktNlKqkc5R5v0e2nR0MXZSgIcXNZhMXFxex3+/tNjnuuVVVcQ7JKhQKhcL9sWiilc29Ymfl5gypQjCHvPC2PuyEM3Li2usRO+dk584tmwOtnxOQoi0lE6M5UhyGmxMu64VaWdHiPSlZ7crs4PaQhsIpnEqylBw5xYzLufOOyPVsdWFoPafhv4uLi7i6ujqaS9YjfNoX16aen0OSC4VCoXCKRRMt98tenflqtToQLud4s3CROp3b29vY7XZ2bhbK94iEO8YkRQnFfSbxO/vVJsyD0vOqDjnHn6mCGF8u09tCJ9vH0NnkVj06EsgkgceuNzauPzz++lwoUVdyibo45xj6MCIwTHx17HBut9vFbrezKp7rn4ZFuT4dhwoVFgqFwqvhYlSgtfZzrbVvttZ+k479R621f9Ra+zt3fz9G5/6D1trXWmt/v7X2rz6W4XPhCJGSFFVx+Fq9PnOMLpw0Ct+4MJkjd1lbSoB66h2IFBw25nzhT+diZQ7WbZ/j7OuNA5M7/lMlzdnubMrUsp6iyeVcu2y7hi4d2eq1p6qlkqYRVqtVbDabWK/XBzLMhBNEa7fb2a2G2A62k/8y9TSr6ynhqX+HFQqFp405itbPR8R/HhG/IMf/s2ma/mM+0Fr7kxHxkxHxz0fEPx0R/0tr7Z+dpinfoO4RkTkanHMbCSv5yRQsRx6c01Jkjn90nbMjU8v4HDvMTMHgY1ldXI8jUK7+CL/CkMu5yfZZn1Ut6qkt2X1TMMHj+jOyqWqVG0PXLsgVVCxN2NobI66byZIj6To+bkyzc9oHrfcJ4+fjiX6HFQqFp48h0Zqm6W+01n5gZn0/HhF/bZqm64j4f1prX4uIH4qI/+PBFr4i5v4qz5QXTJzWUFXmCJGZm4+h/MhZ9Rwfh60USgwzxYlJQEYQMoLCY+GULyWaqgppXREvSZaSuMxuJUQ411ORcE22GhBlspWk2je+RvvTAyaqO/LYI9E4znPS3Dgo8dNzmn6ip3y5e8m2aLn7Ihvzx8JT/w4rFApPG/PjF6f4i62137iT5T95d+yzEfF7VOaDu2MnaK19qbX2t1prf+sVbOjCKTDq1F0YxZGIjJi4drDykBOWamhqrv1KDpxdLgzIbd2HyLi2MPkcoalsPDL1JCubba6tZfSPbVK1Se1QkpIRSF5hqIoZjjNZAXHCfXYpN7RN2KJha7UH6hfsAinRPHA8Fu455v6oTXpvMgKP6/TYfZ9lAKskN5vNva57JLy277BdXD+2rYVC4YnioUTrZyPin4mIH4yIb0TEf3J33H3r2p+80zR9eZqmz0/T9PkH2jALrJ64yd6Z4wHYwY0cE7fp5uA44gM73Hs9xk615xgz6HwotQttZEQLc4L2+31KULksk4qMhLhVmUoSMvuc0uTUPFZwmJxCFUJ/svHP6s6IOcaay2bPA9fVe7bcM5Btbq3PLI7pOLn63Rho39y9mIPVanWyQfdbxGv9DtvE1eNYWSgUnjwetOpwmqbfx/vW2n8ZEf/D3ccPIuL7qej3RcTXH2zdKwLzgzTBZeYcXfgFewdyGRcyceoTgwkdMn27sqhH23DOj23VMpkqk/V5ZAvDJWNVguba1jbgeHt9cmOt46zE1fWJiZKqREpKcI1ml3evru84z3ncMCballO0sn5yW5mapCSZ90mMmL8TgRv3XvkRuL53gGQ9me+wQqHw9PEgRau19hn6+K9FBFbz/HJE/GRr7aq19ici4nMR8X++mokPB5wNVBiEepxigvJ6fBQiG4XFlKjwOW6TMXJEXC+rdJnyw9dp/VkZZ1PvOmf/SPVjpcnVq+d7ipUSjExhQrvuORj1pzd+TgnFxHdGtnIyq9f1JyNYHCLlY/wsQ1Hi60Y/ODLMJUzcvvufeBt4Kt9hhULh6WOoaLXW/mpE/GhE/PHW2gcR8Zci4kdbaz8YLyT134mIfzsiYpqm32qt/WJE/L2I2EfET09vebVOpi4B7EQz4pVdryqWU4RYxcja75GbzCGr8+SyLqyE487JsQLl1Chu0/WDFSIuz+PCjhZbwEDN4vOc+BWT2FGfTuhWxc0pevpZ71OmoumxHnHV97jWXaPn0IaqrlynKoUjtXN03J3PlElnu5YbAfeO55y9STz177BCofC00e4j/z+aEa09ihGbzebEEc9VYjTUoe81fOMULKeEODLjFAUOPSmBUVVC23JKEZMY56zVjkzVyEgoj0U23jpuOmcONqoKw9c6RcT1R6917xU9JUfHRsffhSEzFUqJU3Y++8zlnSLF4C16uKybe+gWJzyUbPGPACSt1Xv2R3/0R397euQ5mm8Kn2ifmn64feFtm1EoFN4Qfm36anxn+tasX42Lzgzv4IhDT32IyJUE55AzFUQdas8R8/UMqAJQBtQx8rGMyPXUutHYsGqlpFRtdgoY29kLoXGYD+81GWfWRnZ/RgqQU+CyMvwKEqHbAmX31RGZbPxGto7A48f3UscSxEvtyMZgjpqFJKtKeLWfhUKhsHQsmmipM3dOr0egeiEaR6ic09TQEMO1y9fopHO2VUlW71wGJjPTdDzxP1NKdA/EDEq44NjdpGwOE6pS6OYdze0X3nN/0F9evalKCyuCPEZcBq+sZKmtPZVqznlXblQXnwMpj/CJYzNSrGPNz8icZ4vHUNNm9H5YFAqFwhKxaKLliIIjT7q0v6cyuFCXhgb5vAuBRcSR49J2nM1qB+rgfmoqhTlqSOY8nVPUvnPb3N+MnGZhv4g4ITattaO0CwqtK9sEWu3htuamOMjUSE2z4EhE9kzwOX1OMxKSqV0ZgeGx5Wf8ISRnLsHiVyRodds/laJVKBTOBYsmWkij4EJiEfMmtY+c4NzP7ODu6+hU5dG61Fn3HNmc8E2PWAGOAPXIDasiXJ4JEytHnIOrZwc7cpAzvpcZ+VQ7e/cctug94GuZQDCp6RFvndenz6WzLVPqdEwwLqwmurAy3zdHhLM2etAfF1pHL8VEoVAoLA2LJlrsNJxKla0GZIejIS49NlIX5m4e7MiJ6486RW5b00aMlBFnA1+r5EcJ3RxlZY6T1uvdvcnKa38y0uxUSXe/uY8gUG5cdNz0TwmXKlluKyFHTNxxHWdHtDTbfUawXX2vAv5fAfnl8XtT2+4UCoXCu4JFE62IYyfjFBLngN05driZo+Y2maBoeAxwYUNnf4+08GfnvJ29rv+KHlFzZAbH5hIsHkvuo1tlyeQlI8xOqdE6sn6qrbrBdJa7SwmEI2J6PerFnCntG8ZAx8nZ3YOSxl6IO8N9lCz0U3cfcOrofdSxQqFQeOpYNNFS4hExb+KvO6f76uF4j/jovCM4vNF2L3yNEo2IF3Nfsi1eOMSFpJkOOiZcjzr33rL/jJyyIqQT3XGe23KpEdTOHhlVpY3HQwlQRpC5vzjPBMJtJ6RkggknJqIrekTY9VeJm7PBjYebB6jt8WtW/xxg4n32/9Xb37FQKBSWjMUTLbcSbPSLXtUZp0g55xaRh9f0nDplbUeVHmefCz3xZw5x9simEgVtR/un/cqIEdvh7NUQLBy1KkRZO3ovmbypna6/ei/YfqfOMWnpjQ1ekZQVc7zUDr1GFU59djIS5NrXfSbnEOWs7AhObXTPBPehyFahUDgXLJpogWQ5UhPRD5s5AsTXOEXBOWwgI2lOtdItUtQ2tVPrZ7g+ODuy+ntlMrKT1QeVjR0uyFZvWxh3LzQBZ9aeu8ewWUkZ6nVjlOUPg2rFtnD/VAnl+5UR6RGB0zEZkThFL2R9X5IVcapm6T1SewuFQuGcsGii5VZ/9YiSc9rqiB2RcuX4nMKF/PQcE5hpmo7yIY1IjSOGOneGM7A7+7Jx4v6PQnFsj1PoVIFR1SYjlUrM2D4NfWb3SwGCy3/crlOHlLy7Z6x3vzLSP4eQOEVV70/vh4RTBx9CstA2b6fE9ri2C4VC4ZywaKLlCBafixg7NVYtNHSjTte169pWO/SXP7ettmTho6xuJm4XFxdxeXkZz549i9vb23j+/Hk6hytrG/XqpszartbjSIo6d5dUE2V1PHUyOVa5abus+vTuSTauGcliO5xCCcAubGrO5VhZcvOoWB3Tc27M8Sxx/7Lrez88XLkeMBeQVUom9RgH1Fl5tAqFwjlh0UQr4pQgzHG4OO6UEa4v26TZta8Oja9BGMk5enZKjrSMQk+6+mu/38eHH354OJ6lGWC1hnNEsTPtOWm2pacC6ljNVQX1HDt4Jl86TvxZFSl3b3XcuZz2X1cX4jUjpXP6xWOj5FFtwhjocdimdmld2u5cMoQ2oWqNFiBUHq1CoXBOWDTRcvu3RfhwEiNTNYAsBJYRs6z+kZLFBAyfMxUNn5VkqfPnidmAhsn0uLadKT/Oseq5hzjyOXD3msORGIebmxs7b0qzlrs+ZuGwHnkaEawe0YnwGe+V8PF1c5/pLOzp+tU711qLzWYT6/X6YA9vFu5W2ar6WCgUCkvGoolWxLGCkREULe8UjqzeOW0rNASYqWhK8Pj6rG1WMFyqBtSr5UFGVPFzGdezLXv41bU1x3ZVnuYA5UCidDxXq1VM03QycR19Xq/Xh7/NZhO73S52u93Ryr0MI5szAqrjgFCiU/p6z0hWbjRWcwjv6BnjcvosY2xXq9UJuS81q1AonBMWTbScA+QveafkwCnCQUeczh2aSwDmOBSngmk7WZiNyzgiOQrDaTgJx0BM4CBd/qisH0oiR31msMoxZ9/GrG9KIjB+uI/s9G9ubk5WPEKdwbwqncfGfV2v1wcygXKj/Sv5erZvROozJTVTVLVN/cGhdnEdTjVz5ZCBnv9vnHrI59XWQqFQWDIWTbTU2TtSo0SFlQ6el8R1uvcZYeJVfvdRadgmtJWpcuzgsr6jnJbRLYaQe0zb0LKZLeqgXX9dqoTR6kslL45EqC1sj1MHWQnj66DibTabI1WGc7KhTZ1f5+7TiADrPDytT+3Veh3mkOI5ZVar1WHuFa5h0sS2gpS7jaPxwwXEbL1ex7e//e20/UKhUFgKFk204MAzx+bCGeyENLM7HL4eB5wytlqtDuEoKB5zw2kZqeL6UUb3loP9cG5QXDLninJZP5waon0YjQNUMiWwbuy1n5lKNldpc+Op93q/35/kt+J7zoSQSZqmcGAy0ruvukXTXAUvUzf1OiXq+tq7l6pOZeqbU9Vwn7XPIFg1P6tQKJwTFk+0MifR2/uNHYU6q1GohetA+EQVnPsoE65PLvs5O203rwpkKyN5vYSn3J4LJWVjwuc1HYNey+RDSVVPgXloCEpVNN12x5Xna3qLA7is2+hbCbIjJVmf5/RXn/ERkdNnELbzxtSjVaao26mqaP+jjz6K7XY7e6P1QqFQWAIWTbQ01BXxUr1QYuXmK2VOiuvDe0cKWAViggEHrO1pmEzbUOKoZIFDWXCS+/3+oCJlBAJjxQ6fbXGKmkIVLCVLGGMlULrKT+9ZTylz92NEWpkE6SpDHcOIOCoT8XJOEiuUvXHt2ZERetePOcRrRKJ6RJWfKaiwmKsWEUdz1dw2RPjMKuo0TYfrOIQ+Z3wKhUJhKVg00VIVgkmWIw89x+2uyUJZGlpxbTnVJlMceIsTPccAQUAYDPW5pKQaHlP7ebzcNT1FJFP+snATA232lC2ucwRH2tgOnp/FKhDGgUOJGEtVKh34WcvGone9q29unyNOE6BmJE5tQ3iP7dMfDdwP3WwbYVYmXPojpkhWoVA4JyyaaK3X66MJ3pljc2qMcwYupJMpXVrHaC9Cd1ydvW6h4+aK8Rwo5+S1XSWhcJociuw5Zq1PiSWP7Vw1o0c6e9ergoiyGbl11zN03hvPc8tIot4fHQ9glDZC++uILd8np5ByeZxzyqur1ym/fB2uzdI2uHuNuu5DMAuFQuGpY9FES1UR50iVWGXhF1YhWLVSx85Qh8/Huf2Ifm6qiDgQxSxLu6oyI/B4cPiRxysLiY3Ocx/5GqcosS1apqcOZgTQKZCqxvB9U2jqBx5zJreuz1ymp964+zwisO64U0T1urlKlpJ1ftbRN6fMoq7RWM7tV6FQKCwNiyZaLnSjX/DszEdKB5OBHsngsnw8I2Wj9rlOXgGnx509IwKJ8Jn2QW16qGNkQspzndy+hhmJciSV0VNxHDLCkZFEtrdHMNxYqW1zVSyu3z2zrizadnap2pfVAQWPQ6bafpatfqSmjfpQKBQKS8SiiVaWaDLi1PnMISqqkjCY/GBeCpxzT4nROUGZDZkzyz6rUpapEXwM5eBsdYz42p5zVSfP8344fNSbR9Q7zvcsIzcaMow4zleVtacpF7JybjwcXHqR0WeXg2p07ZwfClpXRkazhROoS5/nbAx0ArwrUygUCkvHoomWgr/k1aH2lACnFvRChW4CeU8JcapBpkBl13OIB2XcZObMafN5zr2FMBITvmySN48TFCxVhJSs9hQPkDQdG/SL86Fx27B/vV7H1dVVvP/++7Hf7+M73/nOkR3u3jIpRF4tHSPFXNKl6CloPN4urJe1M/pB4J4DbhurT5HrikmqEn59rnSnBV1IkBG+QqFQWDLOhmhlIUP9dZ5dywTKhQBHCohzfHDsvfIKp+70kBE6R7JgD1JCcHleCehCe1lICvObdrvdiYN20DF1yqNTsbi9Z8+exeXlZbTWDgsiLi8v4/3334+PPvoodrtdOjF/ml6uLER9Ol4ZMuUt62NGlHpENCPt7keCA+6HlnNKqNqqbTullUl5Rsh7ilmhUCgsDWdDtHq/5J2ygV/oqoLxL3UlaRkBmKbjNAJaZs6vfudEuU0mIxmR0aznvXaUOLGioSsetS5WN9ycMhfOdIRQVRNHJtxYr9fr+NjHPnZYJfjd7343bm5uDptFazvZ+HIItbf34n1Jw0j5YsVutVrZvG/a5zltqrqq5Gj0o8M9V1oXxiqzYa69hUKhsBQsmmipoqBhFS7nSJAjL87RAghXQRXJVAbn9EBkOFylZMc5SEbPNmeD63uvrMumD6UL4BQUSpR6bbj+MdR5O9Xn4uIiNptNXF5exsc+9rHYbrcH9UpXA3IftF6um0mWptPI1KARMpVLxyxLAYGyo1xegJu87j7zH0ie2qv2cb/1meLx0We5yFahUDgXLJpoRfhQi4M6Ak3jwNc6RQnvdXWac+ysmLns7a6c1pepHJljzpwr28/JJ924YQufjOBFvNz7jxNVOkespNURnN549/q53W5ju90e6thutyfzrXrIngXug47rSJHMkI2ljoWWH+XhcmSe28h2H+D9CN19Y8LKaiX+dH5ipsTdVwUsFAqFp4qzIlo9ZSXidCWc/iJHfdm1ulk151/KlBJ2UFkKASUo7NjdfBuF9jsjNVxOiR7vm6jtjBQoR+IcMA4uRJWBiSjG/8MPPzysOOX5WL17qKoOjwFfo2TBqYwj++eoe9kYu3vp7HKkXZ8lZw+eQ9SBY2ozq16ssLES5sgt7Kj9DguFwrlg8UQLYCVgVK7nKDNH5wiCU2L4nGvHbcrLysrrQEY4MsXBOdpePTiXzQnTbOaskGRjqO+5LlZfUA6T77P5YE6tYZu4bl3dqITUwSlF/JlXP/b6x9fMDbspYcRrj9xwnSDVqmyhHPrP5/heQhXT+8r9qOzwhULhXHAWRMuRGhdOHDlPLg/1RZ1aRi7m1Ktl1J5MOWKH6sgThykjTvOLcXs9xU/VtFEfOQTHhEcdr6ouWf8zm1AWGxmPCJs7piSktXYgGgjtsk0juzJk1zOB6bUxUlaze+gUqaxOJlisQGnqEChW2g+EbrMfLe6HR6FQKCwViydaLmyXEQU376UX6sL5iGPVgCeE87ymacrnOTnFxZWZQ0g07MPHoM7ADu0/ZwZ3djoHyeFP15dMAVIC2VOHegqj2ybHqSgoz5+VKPMxtl9JWU+95PNKTF1f76Nq9YBnzk1id+1wiDEjVHjd7/d2yyhWLjNwPSOiWCgUCkvDoolW5ggVc8KFrryGZjQk0guZZepaZmPPLlZbstAME8Bnz54dUh/oVjgaFkJdc0I9PZXFnVcipIRqrgJ5e3t7NBerlw7BhfSQ4JTHDSSZV48yEeFx65FPJlwox/bpqyOkvefBjS3mWHHbuq+n1q/kytmheeRGc+7cD4IRqS4UCoWlYdFECxipUijDUAWMy3BZqAd8vLdyD3WzAsbXaLn7wCkG7FjX63V8+tOfjouLi/iDP/iDeP78+Ynz5D6r8qNj49rWPjoVhd9n6hyPQ0ZktLzbP5Gvd0QP12gmdCaYfL1LE5GNCZ/jGyo/SAAAIABJREFUxQA9Ja9Xb3ZvnYLI16MvmG/m1FMGxmSz2Rypn+7+8vw1npvlwtNZWLNQKBSWjMUTLagz/As8Io5+4XMC0izcpHVyGf0MsANy13PYRRUQR4C07Z6NfBzOcLvdxgcffHCyCo+VD3xmRznXQboQ3GazOaxaBByp1Doc6ePzPfVOxyAiz4gOIBs8lKwstOr6qFsWueuwIi8iTpKQzhlbR1j5L0vNwUqmPof6nKE8bL6+vj76H9H8bo40Q01DPjkeD6cCFwqFwtKxeKLFpMH9+neOEVCSw9dpOT3OG+oyodK6NazUU5CUjHEoSx2h2ovklrofHTu/bJL6qK98TIkqtzEndYOe5/luXC/s1WvVJq3X1cPKltow5/7r6jolIc5upz72xkT75YgnyI2Gr5mMQaVCqFXvk/YdRPI+9zjixYT6zWZzIK7a51p1WCgUzgWLJlo9ojTnC19JBy9Z1z9HovgzoApCj3S4/oBURRyrcjqJXfsBp6p7GGpfe+pbdk2vD0owR0RLAbWI68tULLUvI4VKLFUtQjnXZ4VTLZUQa90PVbKciqWveD500QV+cOA5ZlKmCyd6xIvfZ8QeCirmt6nadp/7XygUCk8dZ0e0NBTCTlcJgTq2iDhMhFbFhx3aer2O1trJNjxwhj3lxdmA90zqnJNWtcrVy8cxZ0cdrI6VG7sMjuQBGg4dERkQrF7KDO2jux9O/XHKkxIL7UdGOjOSqsqQqmiuvoyEqO18nNsDsWHSzWX2+/1BzeJ7ANt5tSzX6exRe5lIIYyq5+bcx0KhUFgSFk203C9ofq/L8LPr8V4nWztn23NS7NTg6JQczSEz6uSyzOc9B8lKGOpQZcONB9vaU2YyguXszI5FHJPHUeixR/Jw/9BPPBfYnxITuLNnZQ6YSPfCuK6fc9piQqdpRHhs3aR7JmnuPCtgo+end+97/SqCVSgUzhHDfTBaa9/fWvtfW2u/3Vr7rdbav3N3/FOttV9trf2Du9dP3h1vrbW/0lr7WmvtN1prf+qxO5HBZbXmVWMuzKboOe8IP28qW5nG59lpIjzG6ppek9nFdbI9urpMgfCSbq3jnC07ZnXITmFxykU2LuywmQRuNpuDMohjao+ClRmn/OFaVVvUdq1Px1Lfc9gWKTOUiLhxuQ+RQzs8oX6z2cTV1VV87GMfi49//OPx8Y9/PJ49e3ZYgBDxcu9JKFlZklEmhjzfj9vVe6G26f+b9ptxXxL7UDzl769CobAMzNlwbB8R/940Tf9cRPxIRPx0a+1PRsTPRMRXp2n6XER89e5zRMSfjYjP3f19KSJ+9rVbPRNzvsyzUIY6RnUy2S97DcfwcX2vikQ2PyrixeTiy8vLgwLlVA2uW+3pjY/2T1epOZIxh6A6AqbQurWMU7FGyoiSK0d4mVhst9vDlj29Z8EdX61WcXV1dTSPzLWbEfzROOJ+QHm7vLw8TDJHvfv9Prbb7VEaBm1D/7IfAjqGTLyySfbaBtfF/wc8hm9wr8Mn+/1VKBSWgWHocJqmb0TEN+7e/5PW2m9HxGcj4scj4kfvin0lIv63iPj3747/wvTim/Zvttb+WGvtM3f1vHEw8cFn98uclRkmPeoc1GGhzqxdBzgd3UdP541xHXw8c3JuMvOIlCB8xhPs0d59wlm9tkZ2ZGPvQphu3Ln+OWogwLmleBI51CntI7fF5Ha73R71Yw4xnEOw8IfJ6/iD7SBWrE7yHMDePczIsyPH7v5lZHbUV77XbwJP/furUCg8fdxrjlZr7Qci4l+MiF+LiO/Fl880Td9orX36rthnI+L36LIP7o69lS8qp9Y4EqLqDs9d4jJzFSL99a/ngfV6fZg7lNmPkB3mFznli8NXI5KkJE1zXOG1RxbYYWIsszY167iDS6apNvXGPzs3UtGm6XSeXHYdzl1cXMTl5eXhvuA4nhmM5xyi6+xp7UXodLPZxH6/P6wWBBnEXoRMkHEtT4DnhQ5sP38e3Ts8K5wKwtXF/1tu/PT/623gKX5/FQqFp4/ZRKu19vGI+O8i4t+dpuk7nS9Ld+LkW7y19qV4Ic0/Kpg0ZY54zjE4ZFYtXCgFZTOww4GjdMkrVeVRFSXCT4J317sx0UnmfM6Ng6o6WZjJqYW9cnxO22O1by7B1X67cdX7qMqQ9p3B2/XgczZemeozR+3C3DnMxeKUCbxwAQQ8S3uh91Nzfc1R/VxdGWnjdnhMtM8aan1svO7vr7s6D99hz+K912FmoVBYIGYRrdbaJl58Sf3X0zT993eHfx+SemvtMxHxzbvjH0TE99Pl3xcRX9c6p2n6ckR8+a7+NxJLcI6YzzEyh5WRqbnhETh6OOvdbndwlqq4uTa0fefAszQD2j9tT6EkRdvqEcuRotb7jHZANjIS27sHDlADWf0DdA5ST/HEvWM1zCUhxXOQqYOsKLGNaIOTfnJ52MkrJjWUqESKVS5+lnsKaKZ2uecCY8DHXVkce5MJSx/j+yvi+DvsE+1Tby4eWigUnhTmrDpsEfFfRcRvT9P0n9KpX46IL969/2JE/BId//PtBX4kIv7x9JbnZylxcavIeMJxb+k8VnGpo8gUCz6PttEWJ5qEHQgLqTqlDlLDcepQ1Xm71XM9gtUjiq8DvNoS6oZmEFfi0gsvZsB1+MP95b5killGnECw+D7pvLJsIYTaxvd0tVrF5eVlXF1dxdXV1dGqS7YJY6UrHLmfbBf6nalL+ryMkI2L2tir+00Rraf8/VUoFJaBOYrWn46Ifysi/m5r7e/cHfsPI+IvR8QvttZ+KiJ+NyJ+4u7cr0TEj0XE1yLieUT8hddq8T3BxEMdZUZ+WCFAHQ7sYHpOlckQkwm1MSJOFAYlSdwfFxLNFAQcc8qCKhNODdFxGKlSI6j93A9tb6RUOTtAWlk95HHF3oSsBPXqA6BCutWerDg55TEbI34+MS7uHnAdnFhUU3u4jc4Bt0E026Hql4KfESVcWd/0/r5hPOnvr0Kh8PQxZ9Xh/x5+3kJExBdM+SkifvoV7XotcOSDQ0ZKOnhSuNbB14MwOfXIkQRHbnguUMTLcJ/mdwJRYHBoiJ1hliTTqVloy4V9mKygviyMxFBy0TvHxGfO6jingDDx5GNOJXShwRFUrUG9IOlYoZjZ5ZQdJjkXFxdHCmbE8bZKPbvQB7XRkSc97lQthnuuI14qf9kPiaz/c9p8LDzl769CobAMLDozPOAIFjsSdgA6iVfrALI8QExSsuSc+h7t8rVOMcleR5PFUScSXO73+3j+/PlR3VlYcY5DdITMndeyPSUp4niMMyKhCV8xHhjP29vbuL6+PrLP/al97tlg0od7xAqWI9zZZ73XvWvRpnt+HYnjNpg0cTmdm8dlOYVEDyPi/RBFslAoFJaGsyBaEccTdln1UAIGx4nPWodzvBo+yUJgTp1xSpEqIWwbQx1vT/WBYscTqTOFQq/FWGUktKdU9AiIIwWMjFxq3Ui38N5778Xz58/j+vp6uGIxG+9MjVNSqqFcDkFmz4gjibCR5585EtojPT0yzKSTiXBG4N34uM/ZMRxnItr7nykUCoWlY9FEyykNADu4zWYTES9CaTx3q+dcNGzlHNOIKHBZOGtH1nrOukdC2HHzeECxYJKX2ab9g4I0JxXCfUJgc8Za6+UQ4W63i+9+97uH1AeO9Mzpo75nVQ3PCk+oR2Z2rB4dEYhpmo4m5vMYcei3txpQc6m5Z8Lde/cs8fOudWUhRR07p4SOnvk3FTosFAqFt41FEy0HdQqcQoCdIO+H13M+7ticUJ6iR9Tc3nk4z2QyC9GxSnd7exu73e5IBXMkRu1QZ6xKnCNDKJuRUb7G9d9d51YegnhgFZ5T3DKC6saMx8GFV93KQgdHQEHesMKQCRUTLLYh4ljRwopD1NWbf8d91/6wWsptsGrHY6VjqYsZtN9OOcvGpVAoFJaKsyBa/KXvHCMrMxquG4XXNAEk2lMiMoIjDjyh26lj3K4qGI4csX0unMRlXf9wzi0aGKlXijnzr9Q5gwRvNpuYpulo4YCSFVefg1MoOeTlEm+inyB2ULNQztnP/UaZ3W53VFafG554r31UlZI3nHbER9tnQsd1ol3tsxI2bmekiGUh7UKhUDgHLJ5osfPIfmFzORdKc87TOZe5YZPMTrSVXcf1KiEc1dkr7xQsreMhcKqX64s732tfM+mDEGV299QsN6bZeGKOG0gN51RTMupUQhAihKpdQlaA52+hDk1my7Zr2Nkpcr3n2n12SVjduGXPiCOfpWYVCoVzw6KJFjsbDcP0HKtzDD2FCJ/59VXtdsecw0ObzoHqvo4ZuXSYS36cQ3evvb44tSi7LuJYIdG0DY4sZLZre0pG+Ty3nU1Mz0gjK45Qk9yz455FJVP63PKzyaHu0XMN1UpD564vvX5m6pn+f7g+FQqFwjngbIiWHsN7hjoQ5/Sdo2an7BSx+9jLiVOdXXPgnF9GnJRMqNPnieW9ccvscM4+UzV0vPleMVHpXcv96IWsMoKgx5iEZG0zScwmqeM9b7c0el7U1mxrJXc9993l5nIT7R15y8ZG+6djo8/SHAJeKBQKS8SiiZZTnRyRwHEXksrCJj0166HhkUw9csSj5+T02l44bHR8blqBrP05x7gutpfnCvH8I1W/sqStTuWbo9Q5tdOpiFy3Ej0+7upQcsbkkPuPhRm73S5VvqCSZf3CSkxVx3RVrk72d+gpjtlxp6QWCoXCuWDRRCtiHMJwK7xGjoAdKE8qd852rlPRCfC98NTomFOw3HUachuFjjKCqW3jnEvqmqkmmR1OlcxUEacgMYmYS4gdOR31O7Ojd70jYnimYC8TLGefu8+uLf0RERF2xwF3/UiR6v0AwDHtc5GtQqFwLlg00VL1Y+TsXJhr9JlJloaDermQFFrXfeAcrtYxV5lySSYZo3BSzyZXl1Oy8J63poHCw+kbmEQ4Z5+pmXxO1SVVfR5KDLL7oM+I2qv9mKbpZFsm9HluX/mYPmNM7OeodNxmBjeBX6+97zNeKBQKTxWLJloRY7IU8VJ9Wa1Wh/xEStCc88rUMHYw93HS6oQzx3ef5fJOvcnCjth7D0k4e7Y7kqTvnV06tpzuoHcdCIebjK4ES/vsHP0cZRB1OFLG7WYZ0B1J022VkCSXw6TYBBufM/Lb60OPdGZ1ZM/INE2H1ZLI4cVlQEod7ru/ZKFQKCwNiyZaLgSC49hSBr/kNXdQpn6NnHGEVxvmhJvY6fbaQkZxfObtX7jdXvsu1INQ1dx+OxVKr3PX4FxPSXOJWOHQMzKhfc9I1RyHr4SKnw+GElW+d47kYZWfhopHtjl7eE4VJ9jtEdbsmGs7u1cZsQVUxZrTVqFQKCwViyZaCnWIfJxX1t0nTMLl9G8u2Fljfg4UNg5DoqwSECWOWb+5Pffe2cVt9lQVR640BKZ1ch3cPyaqrOL1xjQLnb2qQ2dyp88G2uVjV1dX8d5778Xt7W189NFHsd1uD3UoGc/67MbL9VUTmiohdqogXjN1zrWDa0AStS7XtqL3DBYKhcKScVZECxiFnvScOqhMuXFzabJ6HRA2cqvonNPUTOGqxI3aVsWip6YACGs5Z+2uU1LIfdGM/NqWKkO9thypex3AOGchTm1/u93GZrOJ999//2A/tjzKnp9sfpT2RccRITyEVJ09Gqp1dnBfM+Kkz7aWy1TFQqFQOHcsmmhlc1swF0mVFN0zzhEXBqtNr8O5qA09QtgjHvchdq7uHnRD6ex6DXONFAwXbs3IUxa+U/L5quiR1owIRUR8+OGHsdvtDqv63JY+XGeP4DA4Kz3Kscrknl09p4Sot22PS6mhfe39COnd8yJhhULhXLBoohVxSk4QpuG5SFlZvAd6znBEWuYQGHV62o5Tr9SZOpLRU+pUcRqpRuzYe+khnM1cNsKnXODzrr7exPC5KzzvAx4fJjmqtilcxnq9xt07V1brRZiY5+U5MNnJSKOmJ7mPMqh9yOzXZ6y3ArZQKBSWhkUTLee8NRQHR6CrwQCdL9QLyTjo5r0KdkJOXcicuivLc4l65Ir7g/dZ2NP1h8ETsjPHrHb3yJVex686zqpePZZKgnsDJXSz2RxWZvK2N2wX26uZ2XXVHreD4+4+4TPn1nLPpbPfHcvIHLeVqWWZ3eivm1Po+lMoFApLx6KJVs+RODLDn1GGf+3jmF6rKxb5fLYCix0j/rI9+9CG2pFto8LtjhSPrD11sqMwkNalDlrrd0qItu2UO0cIH4NgMUnS1YTb7fbQbkYQ9RwTECXpvX7MeX71c6YOOkKWqYe9+8d1u/vllDwdF+REKxQKhaVj0URrzi/yjECow2DAWbo95LROJlFMjNy1sFfnxqA8/jiXkesTX9tTH3rH0KbaoWVd/W7MnW18jUuLwG1oWoeRGvNQ8D1ZrVaxXq+Pwrq67yPsY8Ktfd3v9yfqmxsbN949O7kN9x51OrKvRC9rL7OTbUX9+kz2SNpjqY+FQqHwrmHRRAtg1SgjHi4E5MqNFAinGjAxU7KQTUbmck7hQV2jvFKOBGrYKVOWIuKgwjhnznZkxKsHLsvpD5TkZiThdYPJLMZmtVrF5eXl0QIApybyvXFEsUds0Q7ASo/ev4ys3ef55OtdP1Shzepwz2/240FRRKtQKJwLzoJoAT0Hxed7ZMs5ETinUcgxIs8irqEdPrdarQ6qCisjmUrSU/HmqHx8TJ2+hoEc0ZuDjGTh85t0xCAMGGeQHvTv9vY2NptNTNPL+VGZfb35eGgLcGk8uNyInPXq5jp0XiIfd6sgsc2RI1x4Bi4vLw/1YUyycGRG1gqFQuEcsHiipeqPIzMAl+Hr+RXlcAxEiJ1XT+nQ9rQuTY4JAqehRlVN9NgcR6yO0NXPxzXJK7/y8Uw91PP8+aGq2KsC4UH8cZ4wqFjX19eHLYlaaza1hVNN5/ZDyTeeA0ZPyVICpddhpSI+u7Ark/0e6cdziFW7/Mw51bNQKBTOHYsmWtkverxnAsYEJ6unByZZTEyc8uSuzRwcq0rskEfOjetyfVMnq2EgNxbOMWdO2als2Rg4x//YYBVrs9nE1dXVQTVcrVaHeXD7/T622+1hAjzgSJESSG2vd/97JCX7YcDkjq9zPyqU8PfadKotPyO8ETWXL5WqUCgUTrFoouWct/76d07HhVj4OL9HOAnv2SGB4GQhGr5Gj6vzxF526vj4sxIxHgOkJuDcS0qQXNJQ7a8iI1xzSNPbULC4bfzd3NzEdrs9qFsA1Cwed1cPI1tAwfdLx9wRFUfMNITHm0/z9XpfncqW/ajQvnG/3X6a2Q8Tp4xyu0XKCoXCuWDRRGu0LYliRHq4HmRIz5QfzHMZzTfiifJu1Rps5YnYWZhSiRI7NYS8uE8aCtRjPfWDy+pqSr4mI5hvG7D/8vIyrq6ujubYYUsbTcXA91r7gdCjEmIHpwz2iJUjUzq2jjz3xnq08bOew2eXpNb9f2B83fZA3I9CoVBYOhZNtDJ1SLfdya5DGZ0HE3G8SlEJC9efOazsM5OXTBVwE657TjNz4s4p9xy1ltFwJwihqmnvEtA3TieBrW0iThc4YKsmJk+O+LhtiRiZisgky5EP93y6OvGq9mqbvXvqzjP0mdFzuF5VOrfa9l17LgqFQuGxsGiiFdFfHh8xXkrPv87d9ex4/v/2zi7EruqK4/81M3dGEy2jtS02hiaKebAvGsQKFl8KteYl1af0ofWhYB8UFNoHrS++tlQLhSIYFGyRSkFLfQnUitCnxqrEfDREYx1INGhiIKOJ987X6sM9a2bdlbXPOTeZO+ee7frBMPeeu88+a5197t7/u/aXXZndi1x46IZRD363USEv2pbK3wpDHV3z9h7UokNf2xNi1lfbFTbujahEJDudDjqdzsDimTYaJxEZXZ5eVxyAgXWkUtFQG1H0hE7Zs2Ovbctd25AS2N57LYA8G/T19IQBr6z1M2Kfw+npaVx55ZXuuLcgCIIcyVpo2a7CVKOXiibIZ2UD5SVNWcOjryX2SCMrXYypqIPOM2WDbVBtFMSKBH0dnZ8evC9pPT9s4yzHq/beGxdkLJadjQoMCk7pBpT7kYrM1PFZl7EMuJeZjBav/FMRSZ2+zrNnhZ2dzVq2kbleAoOZk1sJTUxMYGZmBktLSwN7iorY17MggyAIcidroaXxlmCoKwq0+NB4ggbwIx5VkbWUuPEiS/Jed3/JZ55YKxNy8nlqyx7P71QUZtyRfQrlvyxEqgWBJ5pt5M6WrTcLLxXB1J+JYLGzXj0BVyb0yyKd3vFUPt4PCvvs6C5Sm06ihCIiPZuXlpbwxRdftOJ5CYIgWA+yFlryK1x+ievuM4+ycSreZ3YclU7nnavtsultt40+pvPRjbFEZfTmxjZ/ew2dRo4RrQ2Ur9P1Z/Ope17TiEjQK79fccUV6Ha7q8s5eALLThCwArPugH9dvp4Y08JNizAbRfSuI8+59yMi1QUo9yQlDLX/smCr3k7Is2dxcfEi0WrTpWZmBkEQ5EjWQktjGzlPwHiNU0oQpUSLzdM7lmqk9H9ru3ctL/Li+WwbUiv8JKJSJUK9aEtqY+txFF3Ma121QH98nhU0ZaJEZimKMNX3rWyDb3mtxY0uFxF+VTMB5dxUxMmWa1k56Ot76bxIlt6eqOwZttfQaSUKG2IrCIKvClkLLZlJJg2Gbkw98eF1wQllYkofL2soy6JeOs/UMSsUvTEyKaFmu7nkuERxUjaU5V02nqcOXjRvFHhixHbZacFk9zzUkavFxcWBsUZCSiTZSJQXtfSEb5kvqftknwfvR4KQ+gEhn3k2pSaOWJu0mLIzZCcmJjA7O4upqSnMzc0l/QyCIMiFrIWWTHUH1n5N27WRUpGeKrGR+l8mojxst1AdweF1b1Wl1+t62UHv2m4tCGwEaxgxmoqSpN5bIaLzWy90RMXmL12xNoqj0eLWE246nU5j77VN50VX7XHrh71eamaqttErr7J7rO3X15SNtjdt2oTp6WlMTU3h7NmzuHDhwuqzllo2ZWFhAfPz89i0aVPyukEQBDmRtdASpCHS3TTe4GOh7Je/FwHTn3uNoM3THrcNYd0uRS/fss91ZKbMF3t+3WtY0aob6SrbUjasl9jSMw21kNICZXJyEjMzM6sz5nq9nrsEgY2K6uPeMeurxnuOvK2W7PXLRKs9lvrRkDpHL2Ui6K7RTqeDzZs3o9PpYNu2bbj//vtx4sQJ7Nu3D2fOnMFnn33minih2+2i2+269yMIgiA3shZadgFJ3YDo6JbsbZfaascKEjsY2HZH6XNTjZ2NiOhzLKnIx3pR1v1pux3LRKmXp02X6oqsG70ZFh3FsuVj/VhZWcHCwsJq9M9bW0v7kvLBDp5P5aG30JHr6zFkqfxTz4iNRkraqvvndXt690vylP0fAWBubg6nT5/Gjh07MDc3h0OHDqHb7a7OLFzP5zQIgqCNZC20UgJBKn8d3bCzElPRCjsYONUAC6ltdbz3XheSZ7eOqFwqZTaX2VfWaKc+K+tCLMuzKtJXt+vL2whZ8pA0IrpFbFlxqyM91u5UtNLztyp66G1r5Pnk2WfT2GfY2ypJ39uUwLN5rqys4MKFC/jyyy9BRNi7dy9mZ2cvWjfLy6cqwhcEQZAbWQstAKsLLIqoksiVbjR0gyvRLW/ci9fVVtb9pgXRsBEbfV7dRqkq0lTWXSkMuy9dnaiUvbaXf0pU2M89EVgW8ZNytAtzAuntbXTXoudDma3e+7JJA7o7t6qb1S6YmopclQljr+xtGaaegenp6dW1x/Qkgvn5eZw7d660q9N7HQRB8FUga6GlIxXSqOqNfyWNXp3da0ztWBV7jTK8qJqNiKVmrOljdtxMncbey0en1Yu4Wn/r5GWFjdd1VXZOFVps1jmvzGa9n6EgYkGEuHQn65Xgddej7trzhJV9huTaWshboWQjVzq9LvPU/fSEVtmz4S1yW+f+MvcnAtjnMPWDRedbJuyCIAhyJ2uhJbMOmS+eCaUXdwR8AVX2y9zDdjN5DZrO355jj4sImJycHFh+oK49Hto2ea8bSp1OXzeVV6pxr4rk1bXVu5a+XlUkTNLIM2DFju6q88bX2QiQ7Y6U50jvMWjt8gaXewJHR6lEgEtaHWXTgsa7nr1XnhjT/si9qYqeLi8vo9vtDkR/ZXHVqamp1YVzU1sxlUV/gyAIciVroSUNoregZFU3h7eJtG347Xn2mFzbYqMBcq40WLbhk9lyi4uLWFpaGlhiwOan31tbdRTLRoo8ceJtkmzR0bgqYSq+ABgQvmVdXHaiQpUY0NfVgsT+6S4y261oy9mKGrsemxcNk3QTExOrUdTUM6I3FNfXtYJwmBXovQiaPScVzbT3QKO70yUqrFeyt1G6VD5VZRgEQZALlTu7EtFWInqDiI4S0REieqQ4/iQRfUREB4q/Xeqcx4noOBEdI6J7RulAHbxuO9solHVvlEUPvPfAWoREn1vWRSPiamFh4aJFRBcXF9Hr9QYabol06fFnNvKi0dEb65dc2xuAXdWtJAJBL52QakRFvNmFL1NRI4m02TRl0SxrsxUrOgIja0B5ET6dl91cWj5fXl5Gr9dDr9cbuH9arFsx4z2DkqeXRp4jfd/s85SKHumykWdFv9ZpxV59L+y91GWmkYVcxcYye1J5jIoc6q8gCNpNnYjWEoBfMvM7RHQ1gLeJ6LXis98z8+90YiK6BcAeAN8F8G0A/ySiHcw8uNbCBnD+/PmNvuQA47bNiF3uYr0Yxk/d2I7KHnstPSYv+MrR2vorCII8qIxoMfMpZn6neP05gKMAtpScshvAS8zcY+YPARwHcMd6GBsEQTAMUX8FQdA0lUJLQ0TbANwGYH9x6GEiOkhEzxPRNcWxLQBOqNNOwqnYiOhBInqLiN4a2uogCIIhWc/6q8hvtQ5bRG9EVgdB0HZqCy0iugrAywAeZeZ5AM8AuAl4t4DCAAAFo0lEQVTArQBOAXhKkjqnXzRog5mfZebbmfn2oa0OgiAYgvWuv4DBOqyDmRFYHQRBDtQSWkTUQb+SepGZXwEAZv6EmZeZeQXAXqyF108C2KpOvwHAx+tnchAEQX2i/gqCoEnqzDokAM8BOMrMT6vj16tk9wE4XLx+FcAeIpohou0Abgbw5vqZHARBUI+ov4IgaJo6sw7vAvBTAIeI6EBx7NcAfkJEt6IfVp8D8AsAYOYjRPRXAP9Ff8bPQzFjJwiChoj6KwiCRqGyNZI2zAii5o0IgmCjeTuXMZpfo2v5e/SDps0IgmCD2M+vY57P1loQcFyE1mkA5wGcadqWy+Q6tN8HIA8/cvAByMOPlA/fYeZvbLQxo4CIPgdwrGk71oGcn7e2kYMfOfgA+H7Urr/GQmgBABG91fZftzn4AOThRw4+AHn4kYMPVeTiYw5+5OADkIcfOfgAXL4fQ62jFQRBEARBENQnhFYQBEEQBMGIGCeh9WzTBqwDOfgA5OFHDj4AefiRgw9V5OJjDn7k4AOQhx85+ABcph9jM0YrCIIgCIIgN8YpohUEQRAEQZAVjQstIvoRER0jouNE9FjT9gwDEc0R0SEiOiCbYxPRtUT0GhG9X/y/piqfjaTYQPdTIjqsjrk2U58/FGVzkIh2Nmf5IAk/niSij4ryOEBEu9Rnjxd+HCOie5qxehAi2kpEbxDRUSI6QkSPFMdbVR4lfrSqPC6VttZhbay/gDzqsBzqLyCPOmxD6i9mbuwPwCSADwDcCGAawLsAbmnSpiHtnwNwnTn2WwCPFa8fA/Cbpu009t0NYCeAw1U2A9gFYB/6G+3eCWB/0/ZX+PEkgF85aW8pnq0ZANuLZ25yDHy4HsDO4vXVAN4rbG1VeZT40aryuETfW1uHtbH+KuxqfR2WQ/1V2Nb6Omwj6q+mI1p3ADjOzP9j5gUALwHY3bBNl8tuAC8Ur18A8OMGbbkIZv4XgLPmcMrm3QD+xH3+DWCWBveIa4yEHyl2A3iJmXvM/CGA41jbRLgxmPkUM79TvP4cwFEAW9Cy8ijxI8VYlsclklsdNtb1F5BHHZZD/QXkUYdtRP3VtNDaAuCEen8S5Q6OGwzgH0T0NhE9WBz7FjOfAvoFCOCbjVlXn5TNbSyfh4uQ9POq22Ps/SCibQBuA7AfLS4P4wfQ0vIYgjb7kkv9BbT4O2No7fclhzpsVPVX00LL2yeoTdMg72LmnQDuBfAQEd3dtEHrTNvK5xkANwG4FcApAE8Vx8faDyK6CsDLAB5l5vmypM6xcfajleUxJG32Jff6C2hX+bT2+5JDHTbK+qtpoXUSwFb1/gYAHzdky9Aw88fF/08B/A398OEnEgot/n/anIW1SdncqvJh5k+YeZmZVwDsxVo4d2z9IKIO+l/uF5n5leJw68rD86ON5XEJtNaXjOovoIXfGUtbvy851GGjrr+aFlr/AXAzEW0nomkAewC82rBNtSCizUR0tbwG8EMAh9G3/4Ei2QMA/t6MhUORsvlVAD8rZorcCeCchIPHEdPXfx/65QH0/dhDRDNEtB3AzQDe3Gj7LEREAJ4DcJSZn1Yftao8Un60rTwukVbWYZnVX0DLvjMebfy+5FCHbUj9NaqR/HX/0J+F8B76I/efaNqeIey+Ef2ZB+8COCK2A/g6gNcBvF/8v7ZpW43df0E/DLqIvjL/ecpm9EOkfyzK5hCA25u2v8KPPxd2Hiy+DNer9E8UfhwDcG/T9hc2fR/9kPNBAAeKv11tK48SP1pVHpfhf+vqsLbWX4WNra/Dcqi/CrtaX4dtRP0VK8MHQRAEQRCMiKa7DoMgCIIgCLIlhFYQBEEQBMGICKEVBEEQBEEwIkJoBUEQBEEQjIgQWkEQBEEQBCMihFYQBEEQBMGICKEVBEEQBEEwIkJoBUEQBEEQjIj/Ay8pgMK3o9P4AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x720 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp_ds = get_baseline_dataset(x_train_filenames, \n",
    "                               y_train_filenames,\n",
    "                               preproc_fn=tr_preprocessing_fn,\n",
    "                               batch_size=1,\n",
    "                               shuffle=False)\n",
    "# Let's examine some of these augmented images\n",
    "data_aug_iter = temp_ds.make_one_shot_iterator()\n",
    "next_element = data_aug_iter.get_next()\n",
    "with tf.Session() as sess: \n",
    "  batch_of_imgs, label = sess.run(next_element)\n",
    "\n",
    "  # Running next element in our graph will produce a batch of images\n",
    "  plt.figure(figsize=(10, 10))\n",
    "  img = batch_of_imgs[0]\n",
    "\n",
    "  plt.subplot(1, 2, 1)\n",
    "  plt.imshow(img)\n",
    "\n",
    "  plt.subplot(1, 2, 2)\n",
    "  plt.imshow(label[0, :, :, 0])\n",
    "  plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "def conv_block(input_tensor, num_filters):\n",
    "  encoder = layers.Conv2D(num_filters, (3, 3), padding='same')(input_tensor)\n",
    "  encoder = layers.BatchNormalization()(encoder)\n",
    "  encoder = layers.Activation('relu')(encoder)\n",
    "  encoder = layers.Conv2D(num_filters, (3, 3), padding='same')(encoder)\n",
    "  encoder = layers.BatchNormalization()(encoder)\n",
    "  encoder = layers.Activation('relu')(encoder)\n",
    "  return encoder\n",
    "\n",
    "def encoder_block(input_tensor, num_filters):\n",
    "  encoder = conv_block(input_tensor, num_filters)\n",
    "  encoder_pool = layers.MaxPooling2D((2, 2), strides=(2, 2))(encoder)\n",
    "  \n",
    "  return encoder_pool, encoder\n",
    "\n",
    "def decoder_block(input_tensor, concat_tensor, num_filters):\n",
    "  decoder = layers.Conv2DTranspose(num_filters, (2, 2), strides=(2, 2), padding='same')(input_tensor)\n",
    "  decoder = layers.concatenate([concat_tensor, decoder], axis=-1)\n",
    "  decoder = layers.BatchNormalization()(decoder)\n",
    "  decoder = layers.Activation('relu')(decoder)\n",
    "  decoder = layers.Conv2D(num_filters, (3, 3), padding='same')(decoder)\n",
    "  decoder = layers.BatchNormalization()(decoder)\n",
    "  decoder = layers.Activation('relu')(decoder)\n",
    "  decoder = layers.Conv2D(num_filters, (3, 3), padding='same')(decoder)\n",
    "  decoder = layers.BatchNormalization()(decoder)\n",
    "  decoder = layers.Activation('relu')(decoder)\n",
    "  return decoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "inputs = layers.Input(shape=img_shape)\n",
    "# 256\n",
    "\n",
    "encoder0_pool, encoder0 = encoder_block(inputs, 32)\n",
    "# 128\n",
    "\n",
    "encoder1_pool, encoder1 = encoder_block(encoder0_pool, 64)\n",
    "# 64\n",
    "\n",
    "encoder2_pool, encoder2 = encoder_block(encoder1_pool, 128)\n",
    "# 32\n",
    "\n",
    "encoder3_pool, encoder3 = encoder_block(encoder2_pool, 256)\n",
    "# 16\n",
    "\n",
    "encoder4_pool, encoder4 = encoder_block(encoder3_pool, 512)\n",
    "# 8\n",
    "\n",
    "center = conv_block(encoder4_pool, 1024)\n",
    "# center\n",
    "\n",
    "decoder4 = decoder_block(center, encoder4, 512)\n",
    "# 16\n",
    "\n",
    "decoder3 = decoder_block(decoder4, encoder3, 256)\n",
    "# 32\n",
    "\n",
    "decoder2 = decoder_block(decoder3, encoder2, 128)\n",
    "# 64\n",
    "\n",
    "decoder1 = decoder_block(decoder2, encoder1, 64)\n",
    "# 128\n",
    "\n",
    "decoder0 = decoder_block(decoder1, encoder0, 32)\n",
    "# 256\n",
    "\n",
    "outputs = layers.Conv2D(1, (1, 1), activation='sigmoid')(decoder0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = models.Model(inputs=[inputs], outputs=[outputs])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "def dice_coeff(y_true, y_pred):\n",
    "    smooth = 1.\n",
    "    # Flatten\n",
    "    y_true_f = tf.reshape(y_true, [-1])\n",
    "    y_pred_f = tf.reshape(y_pred, [-1])\n",
    "    intersection = tf.reduce_sum(y_true_f * y_pred_f)\n",
    "    score = (2. * intersection + smooth) / (tf.reduce_sum(y_true_f) + tf.reduce_sum(y_pred_f) + smooth)\n",
    "    return score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "def dice_loss(y_true, y_pred):\n",
    "    loss = 1 - dice_coeff(y_true, y_pred)\n",
    "    return loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "def bce_dice_loss(y_true, y_pred):\n",
    "    loss = losses.binary_crossentropy(y_true, y_pred) + dice_loss(y_true, y_pred)\n",
    "    return loss"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            (None, 256, 256, 3)  0                                            \n",
      "__________________________________________________________________________________________________\n",
      "conv2d (Conv2D)                 (None, 256, 256, 32) 896         input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization (BatchNorma (None, 256, 256, 32) 128         conv2d[0][0]                     \n",
      "__________________________________________________________________________________________________\n",
      "activation (Activation)         (None, 256, 256, 32) 0           batch_normalization[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_1 (Conv2D)               (None, 256, 256, 32) 9248        activation[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_1 (BatchNor (None, 256, 256, 32) 128         conv2d_1[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_1 (Activation)       (None, 256, 256, 32) 0           batch_normalization_1[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d (MaxPooling2D)    (None, 128, 128, 32) 0           activation_1[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_2 (Conv2D)               (None, 128, 128, 64) 18496       max_pooling2d[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_2 (BatchNor (None, 128, 128, 64) 256         conv2d_2[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_2 (Activation)       (None, 128, 128, 64) 0           batch_normalization_2[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_3 (Conv2D)               (None, 128, 128, 64) 36928       activation_2[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_3 (BatchNor (None, 128, 128, 64) 256         conv2d_3[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_3 (Activation)       (None, 128, 128, 64) 0           batch_normalization_3[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_1 (MaxPooling2D)  (None, 64, 64, 64)   0           activation_3[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_4 (Conv2D)               (None, 64, 64, 128)  73856       max_pooling2d_1[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_4 (BatchNor (None, 64, 64, 128)  512         conv2d_4[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_4 (Activation)       (None, 64, 64, 128)  0           batch_normalization_4[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_5 (Conv2D)               (None, 64, 64, 128)  147584      activation_4[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_5 (BatchNor (None, 64, 64, 128)  512         conv2d_5[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_5 (Activation)       (None, 64, 64, 128)  0           batch_normalization_5[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_2 (MaxPooling2D)  (None, 32, 32, 128)  0           activation_5[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_6 (Conv2D)               (None, 32, 32, 256)  295168      max_pooling2d_2[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_6 (BatchNor (None, 32, 32, 256)  1024        conv2d_6[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_6 (Activation)       (None, 32, 32, 256)  0           batch_normalization_6[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_7 (Conv2D)               (None, 32, 32, 256)  590080      activation_6[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_7 (BatchNor (None, 32, 32, 256)  1024        conv2d_7[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_7 (Activation)       (None, 32, 32, 256)  0           batch_normalization_7[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_3 (MaxPooling2D)  (None, 16, 16, 256)  0           activation_7[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_8 (Conv2D)               (None, 16, 16, 512)  1180160     max_pooling2d_3[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_8 (BatchNor (None, 16, 16, 512)  2048        conv2d_8[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_8 (Activation)       (None, 16, 16, 512)  0           batch_normalization_8[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_9 (Conv2D)               (None, 16, 16, 512)  2359808     activation_8[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_9 (BatchNor (None, 16, 16, 512)  2048        conv2d_9[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "activation_9 (Activation)       (None, 16, 16, 512)  0           batch_normalization_9[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "max_pooling2d_4 (MaxPooling2D)  (None, 8, 8, 512)    0           activation_9[0][0]               \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_10 (Conv2D)              (None, 8, 8, 1024)   4719616     max_pooling2d_4[0][0]            \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_10 (BatchNo (None, 8, 8, 1024)   4096        conv2d_10[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_10 (Activation)      (None, 8, 8, 1024)   0           batch_normalization_10[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_11 (Conv2D)              (None, 8, 8, 1024)   9438208     activation_10[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_11 (BatchNo (None, 8, 8, 1024)   4096        conv2d_11[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_11 (Activation)      (None, 8, 8, 1024)   0           batch_normalization_11[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose (Conv2DTranspo (None, 16, 16, 512)  2097664     activation_11[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "concatenate (Concatenate)       (None, 16, 16, 1024) 0           activation_9[0][0]               \n",
      "                                                                 conv2d_transpose[0][0]           \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_12 (BatchNo (None, 16, 16, 1024) 4096        concatenate[0][0]                \n",
      "__________________________________________________________________________________________________\n",
      "activation_12 (Activation)      (None, 16, 16, 1024) 0           batch_normalization_12[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_12 (Conv2D)              (None, 16, 16, 512)  4719104     activation_12[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_13 (BatchNo (None, 16, 16, 512)  2048        conv2d_12[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_13 (Activation)      (None, 16, 16, 512)  0           batch_normalization_13[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_13 (Conv2D)              (None, 16, 16, 512)  2359808     activation_13[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_14 (BatchNo (None, 16, 16, 512)  2048        conv2d_13[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_14 (Activation)      (None, 16, 16, 512)  0           batch_normalization_14[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_1 (Conv2DTrans (None, 32, 32, 256)  524544      activation_14[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_1 (Concatenate)     (None, 32, 32, 512)  0           activation_7[0][0]               \n",
      "                                                                 conv2d_transpose_1[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_15 (BatchNo (None, 32, 32, 512)  2048        concatenate_1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_15 (Activation)      (None, 32, 32, 512)  0           batch_normalization_15[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_14 (Conv2D)              (None, 32, 32, 256)  1179904     activation_15[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_16 (BatchNo (None, 32, 32, 256)  1024        conv2d_14[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_16 (Activation)      (None, 32, 32, 256)  0           batch_normalization_16[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_15 (Conv2D)              (None, 32, 32, 256)  590080      activation_16[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_17 (BatchNo (None, 32, 32, 256)  1024        conv2d_15[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_17 (Activation)      (None, 32, 32, 256)  0           batch_normalization_17[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_2 (Conv2DTrans (None, 64, 64, 128)  131200      activation_17[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_2 (Concatenate)     (None, 64, 64, 256)  0           activation_5[0][0]               \n",
      "                                                                 conv2d_transpose_2[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_18 (BatchNo (None, 64, 64, 256)  1024        concatenate_2[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_18 (Activation)      (None, 64, 64, 256)  0           batch_normalization_18[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_16 (Conv2D)              (None, 64, 64, 128)  295040      activation_18[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_19 (BatchNo (None, 64, 64, 128)  512         conv2d_16[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_19 (Activation)      (None, 64, 64, 128)  0           batch_normalization_19[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_17 (Conv2D)              (None, 64, 64, 128)  147584      activation_19[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_20 (BatchNo (None, 64, 64, 128)  512         conv2d_17[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_20 (Activation)      (None, 64, 64, 128)  0           batch_normalization_20[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_3 (Conv2DTrans (None, 128, 128, 64) 32832       activation_20[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_3 (Concatenate)     (None, 128, 128, 128 0           activation_3[0][0]               \n",
      "                                                                 conv2d_transpose_3[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_21 (BatchNo (None, 128, 128, 128 512         concatenate_3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_21 (Activation)      (None, 128, 128, 128 0           batch_normalization_21[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_18 (Conv2D)              (None, 128, 128, 64) 73792       activation_21[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_22 (BatchNo (None, 128, 128, 64) 256         conv2d_18[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_22 (Activation)      (None, 128, 128, 64) 0           batch_normalization_22[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_19 (Conv2D)              (None, 128, 128, 64) 36928       activation_22[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_23 (BatchNo (None, 128, 128, 64) 256         conv2d_19[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_23 (Activation)      (None, 128, 128, 64) 0           batch_normalization_23[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_transpose_4 (Conv2DTrans (None, 256, 256, 32) 8224        activation_23[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "concatenate_4 (Concatenate)     (None, 256, 256, 64) 0           activation_1[0][0]               \n",
      "                                                                 conv2d_transpose_4[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_24 (BatchNo (None, 256, 256, 64) 256         concatenate_4[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "activation_24 (Activation)      (None, 256, 256, 64) 0           batch_normalization_24[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_20 (Conv2D)              (None, 256, 256, 32) 18464       activation_24[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_25 (BatchNo (None, 256, 256, 32) 128         conv2d_20[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_25 (Activation)      (None, 256, 256, 32) 0           batch_normalization_25[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_21 (Conv2D)              (None, 256, 256, 32) 9248        activation_25[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "batch_normalization_26 (BatchNo (None, 256, 256, 32) 128         conv2d_21[0][0]                  \n",
      "__________________________________________________________________________________________________\n",
      "activation_26 (Activation)      (None, 256, 256, 32) 0           batch_normalization_26[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "conv2d_22 (Conv2D)              (None, 256, 256, 1)  33          activation_26[0][0]              \n",
      "==================================================================================================\n",
      "Total params: 31,126,497\n",
      "Trainable params: 31,110,497\n",
      "Non-trainable params: 16,000\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.compile(optimizer='adam', loss=bce_dice_loss, metrics=[dice_loss])\n",
    "\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "save_model_path = '/tmp/weights.hdf5'\n",
    "cp = tf.keras.callbacks.ModelCheckpoint(filepath=save_model_path, monitor='val_dice_loss', save_best_only=True, verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/5\n",
      "2566/2567 [============================>.] - ETA: 0s - loss: 1.7222 - dice_loss: 0.5601\n",
      "Epoch 00001: val_dice_loss improved from inf to 0.29731, saving model to /tmp/weights.hdf5\n",
      "2567/2567 [==============================] - 293s 114ms/step - loss: 1.7216 - dice_loss: 0.5599 - val_loss: 0.8934 - val_dice_loss: 0.2973\n",
      "Epoch 2/5\n",
      "2566/2567 [============================>.] - ETA: 0s - loss: 0.8325 - dice_loss: 0.2763\n",
      "Epoch 00002: val_dice_loss improved from 0.29731 to 0.28504, saving model to /tmp/weights.hdf5\n",
      "2567/2567 [==============================] - 266s 104ms/step - loss: 0.8332 - dice_loss: 0.2766 - val_loss: 0.8566 - val_dice_loss: 0.2850\n",
      "Epoch 3/5\n",
      "1114/2567 [============>.................] - ETA: 2:14 - loss: 0.8587 - dice_loss: 0.2845"
     ]
    }
   ],
   "source": [
    "history = model.fit(train_ds, \n",
    "                   steps_per_epoch=int(np.ceil(num_train_examples / float(batch_size))),\n",
    "                   epochs=epochs,\n",
    "                   validation_data=val_ds,\n",
    "                   validation_steps=int(np.ceil(num_val_examples / float(batch_size))),\n",
    "                   callbacks=[cp])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dice = history.history['dice_loss']\n",
    "val_dice = history.history['val_dice_loss']\n",
    "\n",
    "loss = history.history['loss']\n",
    "val_loss = history.history['val_loss']\n",
    "\n",
    "epochs_range = range(epochs)\n",
    "\n",
    "plt.figure(figsize=(16, 8))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.plot(epochs_range, dice, label='Training Dice Loss')\n",
    "plt.plot(epochs_range, val_dice, label='Validation Dice Loss')\n",
    "plt.legend(loc='upper right')\n",
    "plt.title('Training and Validation Dice Loss')\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.plot(epochs_range, loss, label='Training Loss')\n",
    "plt.plot(epochs_range, val_loss, label='Validation Loss')\n",
    "plt.legend(loc='upper right')\n",
    "plt.title('Training and Validation Loss')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Alternatively, load the weights directly: model.load_weights(save_model_path)\n",
    "model = models.load_model(save_model_path, custom_objects={'bce_dice_loss': bce_dice_loss,\n",
    "                                                           'dice_loss': dice_loss})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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LEEIIIaQFKLIIIYQQQlqAIosQQgghpAUosgghhBBCWoAiixBCCCGkBSiyCCGEEEJagCKLEEIIIaQFKLIIIYQQQlqAIosQQgghpAUosgghhBBCWoAiixBCCCGkBSiyCCGEEEJagCKLEEIIIaQFKLIIIYQQQlqAIosQQgghpAUosgghhBBCWoAiixBCCCGkBSiyCCGEEEJagCKLEEIIIaQFKLIIIYQQQlqAIosQQgghpAUosgghhBBCWoAiixBCCCGkBSiyCCGEEEJagCKLEEIIIaQFKLIIIYQQQlqAIosQQgghpAUosgghhBBCWoAiixBCCCGkBSiyCCGEEEJagCKLEEIIIaQFKLJOIETkahF55HbbQcgyICKPFJEbt7H/60Tk0dvVP9nZiMg9RSSJSK98/wERufQ49PsyEXlL2/1k+p665hMBiqwtcrz+kDb54qeU7p9S+ljbthDSBBH5mIjcISKrDcsf1z+wZV832/5EpCcit4hIOh42kJ1N+ff/qIgcKr9Lfygie9voK6X0+JTSGxva1MqYVP7jkkTkT93xB5THP9ZGvzsZiixCyMIRkXsCeASABOD7ttWYag4AeLx5/wQAd2yTLWRncklKaS+ABwP4dgC/4AtIwYky3t4K4D+IyDeZY5cC+PI22bPUnCgf+lIgIj8mIp8Ukd8o/4O/VkQeb85/TEReISJ/JyJ3ish7RGRfeW5TaEP/IxGRxwH4eQA/VP7HdFWm/8l/MKXn6x0i8hYROSgi/yQiF4vIS8v/1G8QkceYus8UkS+VZb8mIs9xbb9IRPaLyE0i8qzyv5aLynOr5TVfX/439/9EZPei7ivZkTwDwKcBXI7iD/AEEdktIq8Ska+Xz8Eny+/LX5VFDpTf8+/0HtwghFL5vW3Am0tbrd1vcvZm+xCRs0Tkz0TkgIjcLiKfiAZTEfnW8u/BU2e0j+wQUkrfAPABAN8GTP7e/4qI/DWAIwDuJSKni8jry7+l3xCRl4tItyzfLf+O3iYiXwPwvbb9sr1nmffPNt/LL4rIg0XkzQAuBPC+8hl6UVn2O0TkU+X39CoxaSUi8s0i8vGynQ8BOKvmUtcBvBvAU9VuAE8B8FZn72+V48xdIvI5EXmEOfcwEflsee5mEfnNqCMR+c/luPZtNTYtLRRZi+fhAP4FxRf11wG8XkTEnH8GgP8K4FwAIwC/XddgSukvAPwqgLenlPamlB7Q0JZLUAwiZwL4BwAfRPGZnwfglwH8vil7C4AnAjgNwDMBvFpEHgwApcj77wAeDeAiAP/J9fNrAC4G8MDy/HkAfrGhjeTE5Bko/ui+FcBjReRu5txvAHgIgP8AYB+AFwEYA/ju8vwZ5ff8bxr0k/3eNuTdAL5bRM4QkTNQeN/eM0MfLwBwI4CzAdwNxT9DU6HGsuxfAvhvKaU/nsE2soMQkQtQeEL/wRx+OoDLAJwK4OsA3oji7/5FAB4E4DEAVDg9G8X37EEAHgrgv1T09WQAL0PxnJ2Gwlv8bymlpwO4HqV3LaX06yJyHoA/B/ByFM/bCwG8U0TOLpt7G4DPoRiz/jfcP0UZ3oRj/5w8FsDVAG5yZT6DYkzYV/bxDhHZVZ77LQC/lVI6DcC9AVwRXOMzUYwtj04pfaGBTUsJRdbi+XpK6XUppQ0UD9TdUfzxVd6cUvpCSukwgP8J4Cn6n0wLfCKl9MGU0gjAO1AMBK9MKQ0B/DGAe5YDC1JKf55S+moq+DiKQUH/83gKgD9MKV2dUjoC4H9pB6WAfDaAn00p3Z5SOohCEPI/9pMUEfkuAPcAcEVK6XMAvgrgh8tzHRT/ZPxMSukbKaWNlNKnUkqDefqq+d42YQ3A+wD8EIrv7HvLY037GKJ4xu+RUhqmlD6RUrIi6xFlm5emlP5snmskS8+7ReQAgE8C+DiKv3/K5eXfzREKsfF4AM9PKR1OKd0C4NU49rfyKQD+b0rphpTS7QBeUdHnswD8ekrpM+X38pqU0tczZX8UwPtTSu9PKY1TSh8C8FkATxCRC1GEOP9nSmmQUvorFM9DJSmlTwHYJyLfgsD7W5Z5S0rp31JKo5TSqwCsAviW8vQQwEUiclZK6VBK6dOu+vMB/ByAR6aUrqmzZ5mhyFo8/6ovSkECADYR8gbz+usA+qh3z87Lzeb1UQC3leJP309sE5HHi8iny5DHART/kald5zq77euzAewB8LnSFX0AwF+Ux8nJyaUA/jKldFv5/m049t/xWQB2oRBeW6bme9sU/a88HCxq+vg/AK4B8JdlKPElrvpPAPhUSumjM9pEdg7fn1I6I6V0j5TST6WUjppz9m/lPVD8vd9v/lb+PoBzyvP+72xONAHABWj+DN0DwJO1z7Lf70Lxz8G5AO4o/+lv0q/lzQCeC+B7ALzLnxSRF5ThzDvLPk/Hsefmx1FEP/5ZRD4jIk901X8OwO+mlLZtdvCiOGGmSe4gLjCvL0Sh6G8DcBiFWAEwiXNbodLabCcpZn+9E8Ug856U0lBE3g1Aw5z7AZxvqthruA2FYLt/mZNATmKkyK16CoCuiOg/HKsAzhCRBwD4JxSeonsD8LmF0Xd86rkA8O9MX3Xf26Z8AsWAk1B4I+7dtI/Sc/sCAC8QkfsD+KiIfCaldGXZxE8AeLGIvDql9LMz2kV2PvY7fQOAAYCzSs+WZz82jw85boD5nlb0qWXfnFJ6ti8oIvcAcKaInGKE1oVBGxFvRvEPxptSSkdsVkyZf/ViAI8CcHVKaSwid+DYc/MVAE8rPds/COBPZDqR/jEA/kJE/jWl9M4Gtiwt9GQdf35URO4nIntQ5EX9Seld+jKAXSLyvSLSRzFDxU59vxlFeK+Nz2yl7OtWACMpkvUfY85fAeCZInLf0u5JvlVKaQzgdSjyVM4BABE5T0Qe24KdZPn5fgAbAO6HIh/jgQDui0LIPKP8vrwBwG+KyLllsu93lmLmVhS5Wfcy7X0eRc7UhSJyOoCXmnN139tGlOG9SwB8nwv11fYhIk8UkYvKsPld5bVvmPoHATyuvIZXzmobOXFIKe1HEWp+lYicJiIdEbm3iGiO6xUAnici54vImQC8V9TyBwBeKCIPkYKLSsEEFGOFfYbeAuASEXls+bztkmKi1flliPGzAP6XiKyUof5LGl7PtSjyc/9HcPpUFLlntwLoicgvosgdAwCIyI+KyNnl34MD5WH73FyN4rn5XRFZ5tnJtVBkHX/ejGLG1b+iCJs8DwBSSncC+CkUD883UPwHb12l7yh//5uI/P0iDSr/G38eiof8DhT5M+815z+AIkH/oyj+c9GEZM2jeXF5/NMicheAD+NY7J2cXFyKIn/v+pTSv+oPgN8B8CNSzAp8IQqP1mcA3I4iubVThtd/BcBfl2GN7yjzR94O4B9RJOdO8prqvrezUObNXB0cr+vjPii+74dQPBe/l9xadSmlAwD+PwCPF5H/PY995IThGSiE+xdRfJ/+BIUXFSj+Wf0gCg/v3wP406gBAEgpvQPFs/I2FEL+3ShyvoAil+sXymfohSmlGwA8CcWkjFtReLZ+DsfG/x9GMWHrdgC/hCBkXmHHJ1NKPuEd5XV8AIXz4OsovNc2FPo4AFeLyCEUSfBPTSn5XMirUEwEeJ2YWfo7Ddn8jxtpCykWantLSukPttuWrSAi9wXwBQCrGbc3IYQQctJDTxZphIj8QOlOPhOF5+F9FFiEEEJIntZElog8TkT+RUSuCWbckJ3Hc1C4mr+KInb+k9trzs6DzwQhx+DzQE4GWgkXljPjvowiD+FGFLkXT0spfXHhnRGyA+AzQcgx+DyQk4W2PFkPA3BNSulrKaV1FAtfPqmlvgjZCfCZIOQYfB7ISUFb62Sdh+mZBDeimL0wQUQuQ7HdAAA8RGR6aRv/HgC24nXT9tpK9E8phTaLCERkql97TH+2iu17UW2ezKSUZl1rqY6Znokuug/Zc2zGMyHbyhoOYz0NFvlM1D4PAJ8Jsrw0fSbaEllRx1OjfkrptQBeCwDdbjft3r1bj+cbLYXEeDye/B6NRpsERrfbRb/fx2g0wmg0mqprX3c6nak6tm1fVu3yvyMBpedFBN1ud9KPnu90Ouh0OkgpYWNjAxsbG1PCKOrD22zfp5QwHo8nx0aj0aTN3D21bUZ92nJqWyQiq9Dy9p40aceW8eW73S5EBKPRaC4hGYltb4//DiyImZ6J02Rferg8qg07CJmZv52srbowap8HgM8EWV6aPhNtiawbMb1y7fnYvHnkFHbQ6/V6SClhOBwipYROpwMRwXg8nvz4OnagVOGix+3gboXLxsbGlDCxYsiW92JH7VEhE4kJKwjV3k6ng263i5TSRPypSNL3uWuyIsjaadtWVIhYoVV3zxW1p0ro5erm2q8SNBHRfdyzp1j0+8iRI5Vt1tkVici2vZwlMz8ThJzA8HkgJwVt5WR9BsB9ROSbRWQFxzZeDdHB1Aoe65lRT40KJxU5foCMBlAta/vR9iI7rKjQY76tlZUV7NmzZ5NgiEKCtl9ri57X6xqPx1P1c6FEX1/Pq7ACpoWdF0eepuJpVoEV1fNE15e75n6/P3WN3nb/uTWxK/rutCi0ZnomCDnB4fNATgpa8WSllEYi8lwUq752AbwhWk3Z4sN6VgSpd6Vse+q3R4WMDpyRePGeJ3vOeoQAoN/vY2VlBRdffDEGgwGuv/56jEYjDAaDSYjResS8vdqPhgatXZFNXnDa+rmyakO328V4PJ5cg4pS24+/br1fu3fvximnnILDhw/jyJEjk8/D17X1vXcwIhJRdWWi/LI777yz0iOmduREYxT2rRLJi2aeZ4KQExU+D+RkobUNolNK7wfw/hnKA5j21OgxHfB7vd5E2OREi/eE5MRLVM7nO6lHqNvt4pxzzsH+/fsxHA6nhIzt14cXvWiLxF+dp8dfx8bGxiQPzeZ89Xq9qVw1Ly4BZG0BijCchuLqcpKidpuE6Zp6w6pEV12dunsanbO5eZEnbVHM+kwQciLD54GcDLQmsuYlGuCs6FHhUuWpskQCIOrDix5NTu90Ojh69Cg+8pGPbBJHTUJUGvb0Hjb98Xlg2p63Rc9Hnhprl702zf+y7UZ21wmTOqpCdl50RiK6jjrvV11ItKntbQosQgghJx9LI7KigVlzcDQMtr6+PiWabN6RbysXytO2redKhZDmSAGF10zLR0nkubAegKmZbyomcuE3HxbVYyrAfF6atumPW+HpvXKRcPDn/aSCWdD7Z72M3jukoctFipgm+VjR5+PtiEK7hBBCyFZZGpGVG9hU+OTCgeptAjDl1fL5SLY9n+PkbVBRpcIlEnG2nUh8Rd6bXB6Q956pSPPtWuGVC6n5/nw/dZ6wJuTuh+3b3v/tFC0576A/n3tPCCGEzMvSiSwb4rJLMQCb14ayXhsVJ5FY8MJKj/l8KitArBfJ9p0LK9l63hvkPS258KENReoyFtY+zbvyIVOgEJi9Xg8iMpWzZa9F61qvVSQ2/TX5EKNdwsJfY+7am9A0Z8uX9fWaeK/0XJNjhBBCyDwsjciKQj05L4QP73lvUE48RGLH//bHbIjOt+mFTnQ9uZDWysoKRATD4XDqfJQ/FYUDtX/bpp0IYEWjF0kafp1HUKg9VR7B6H1TmgqtXIgwl5uV8ywSQgghbbF0IsvnPkUCAZhOVI+8VIoVJ15w6eKg2q8dfK03yIsVK35sf1Z81HlQbEjQt+3t7/V6k/uiwkrz1aJwXxQO9P3XLVSaszsKkVaJrVnICdYm1AnG6POoEvaEEELIVlkakQUcC0XlhIGKIrt4Z7/f3zT4e1GmoUc/qKrQsAnb+juyxeZ/RYnwtr4NB2pbapMN+dmwpAovfy3eo6evq8RlLvdIFz+dRUzYa4gEnBeLtr9FEgkpe79mxXu1ontKCCGEzMtSiSw/0EXJ636dKB8u9L9zs/qs8FHB0+/3MRgMpsRP5LmKPCGROPSeLZ8jJVKsZL53716klHDw4EGMRqNJCFH70PCeXQVfRWOVF0ztUVFql3nIeXEie6OcJz8TMRemWySR8I7KNPVaeVFKcUUIIWSRLI3IigY8P2vQJ1pHuVRa3p7TsrosgxcH+l7FjQ+9WaFjRZsf0O1m0L6+7U+9a+PxGGtrazjmuQjLAAAgAElEQVR69OiU98rarHb5ZRJ0kVSbIK+oR8wmuvt7HYkP79WxG1nbdurWJrPtReFFb4Pv2x/zRPlVde1aUZ7rjxBCCFkkSyGycqGvutwZ72mKvEi5+tpGlADu62mOlh+QvaDyg340kFsvVq68tV3RHCzt04Yu9bWKMfVcVXmXomusCgVWraFVFWarEk1NPU5V5IRWVC4KuxJCCCFtsRQiy6J78GnoLhp8fR5O1UBblUztc4isl8mG2HydXN6YlrerxasHTPOgdFkK3fBYxZH1YnnxtrKygn6/n126wnrqNjY2ptqL7l10n/z9EpFNodbc/fP3IvIy2nK5z6TKziqaCLTo+0CxRQghpE2WSmTpgGcTs/1AGB2PRJYPvQGbvUj+eJQU7r1RuQE9Z4OfFageJl3zajAYbBIAPsFc6/n1rzRk6EOjPnfM0zTE5s9Hnjl/j6P6igrCaO2zeWniDbP5dcdrn0JCCCFkKUSWHXi94MgNgnpOvUFWYNgwoEW9PyqobCK4z6GKjnmREYX67PWICFZWVibiQhcM1VwsmydkPWY+J8zfH7v0hC2zvr4+EWLWTi+Aqu5xJJpy3i9/zIdFtW4UZszlYDURPV5g++vyRG36bYUouAghhCyapRBZwOZkdKA+DBQJIuvBisoDyIYCfZ+RB8d6Q3Ltax396Xa7OOWUU7C2toaDBw9ust/27T1V9rjPj1Lx1ul0JgKrTizUiZ6q+6avozBpXR5Uzpaq95ENUZtNvGHe62kFt5/FSrFFCCFkESyFyIq8KQCmErvtcSUSStYr4QWBzzGqy1WKBI8VIzb3Stv37ayvr2N9fR1HjhzZdK0+t8p61qwNtp5N1LfLOvi6deLGC5OVlZXJGmSK5nZF99ffP4/3TEZE4dUqm33dpl4vFbo+3049oeoVrMtBI4QQQmZhKUQWkBc8UZjO5jfZurnB33uYbNkoXFWX5+M9IZrc7j1ckSCx4i8KBXo7bTvapz1uw6OzhL0ioWXvp4hgdXUVo9EoKz6qQopVx2cRV3V1cx64KEfM30dbty6PjRBCCJmVpRFZFhuqAzYP5tbbUrWsgBcckffD92NFUW6xTa2j4kMT0LWNfr8/dR7YvFipHeyjxUbt9epCqZrkrknwNq9sVpFgBYZt14dg7QzG3L2epb9ZbIyw4jASWLkQsnqvlF6vh16vh/X19U1bNG3lOgkhhBBlKUSWSDHbzofMotwnK4qi15F3xXrD/F6GdXlA9rxNlrbnfNhybW1tU7nhcDjlibJ9+5wg9bJYceO9VVZgaV+5XKtcDpPui+ht8BtS+3r23vpzs3i0mtJEoOU8k5FgBIrQoN1QmxBCCFk0SyGyAGyaLReJEX0fzVyLBkoVbX6w9YIsFwq0fUReEx++tMd8Urtv3y+CautZceVtyeHreVttOWurDxvqa5u31NSzE93PWQVMLlTs7bOfob/nOcGlx+y98iKUgosQQsiiWBqRZZceAPIJ1j5Hy+dR6Wsr2jQkZ0NsUbs+XOdFiBd80XpWOc+RFwf2uA9X+v0Yo1CjDX/ViZqqnDWbS2bFnF013tvor0fbaWKDP+9tisKlkQiMBGKuPeuBVOEdbb0UtUcIIYTMy9KILLvWlSU3ONsB0wsv26alKtSUEwb+uG3TekRsG7aMvvbJ7Xagr/LARNetv6MQqS2Tw5a3s+yitiJPUdRWJOTqPEQ5z1euD0+VMFOPpxeU9h5bgZnzPBJCCCHzsjQiy4fl9FgkPHJeLgBTK6DrgqAppYkXSwWFno/siHKRbJhPvTZe5EUep0gEWm+Q32zZXpMXYN5Dp9cFxOuMRf35fuwq7L5MdD05cl63XNmc1ygndKoEUM7b5V/bjbntvVWbldw6aIQQQsgsLIXIisJPET6sZgdHn8MV5d1UeYv0WM6r4sOResz2ZwWe7c+KnJzHzA/03gNjr83aZ8WmDR96D1pO1Ph7qvX9j7fD2+ivJ/IAzjsDsqrdqJz9/O3nEYlqrZ9rmxBCCJmXLYksEbkOwEEAGwBGKaWHisg+AG8HcE8A1wF4Skrpjqp27ACoA516HUxfk4EwF4KrCjPZc7nB1gqdSHzY4zmPm8cKFC+EVAjogpg+ZGo9V8PhEKPRaGrT7Cr7o42tI7yXKxJxdflUvr1I0DVNnm/isfITASIvmhVZ/piWFZGp3LMmHrsG9l+HBTwThJwo8JkgJzOLiIt8T0rpgSmlh5bvXwLgypTSfQBcWb6vREM4Pnlap9xHuUcqQLSMrnvk2/VtR96RJrk4vg0vhmx/3gtVFcrTMhsbG5P1sLTt4XCIo0ePYm1tbbKafF0ult0EO/fj+/dt+PNRCLWKKg9X07wn/UytAO12u5OlPrw47fV66Pf7kzo2tOsFlt4/G6r1S2JskS0/E4ScYPCZICclbYQLnwTgkeXrNwL4GIAX11XynhQ/u82W0XI2h0sX9PTiJ/LQeKx4yeUhWW+JFTJqh8Xa5ctqW77d8XiMwWCAwWAwdUy9fF7o+HvhE/LtuTrh4M9Xea9s+zmRluuvzg4VTvZ+RX1FIVw7kcCGkNUTaEOVVvj6e9pSyHCuZ4KQExg+E+SkYKuerATgL0XkcyJyWXnsbiml/QBQ/j4nqigil4nIZ0Xks2XZUEhEA6pFPRnD4XCSvB1tPaNteDFiPWK5GXZaT70otm1rq7ZhV2e3P1XhLG9fLkSZ8+r5mXORdzBHLvcpJ9CqhFtV2DRa8sJiBaz3KlnB5EWwnqtLWFePoV+EdBYPWwMW8kwMMViUPYRsN3wmyEnLVj1Z/zGldJOInAPgQyLyz00rppReC+C1ANDpdJKG+nq9XjZJ2ecbRd6bnLfIDtheTPnFP+2Aq8IqpTS1AbQO7jZvytrnBZ0e07JWeNkwpx7b2NjA0aNHJ8sMqGgbDI79obGenshr59fbynwOld6bqO483p6ceLXYleajMt5jZ7f88eE/rRtt2h15O1XYLYCFPBOnyT5m4ZMTBT4T5KRlSyIrpXRT+fsWEXkXgIcBuFlE7p5S2i8idwdwS107NjRUNejrQKgCzC47oMJJvRR+AcrSzqkZh3pe62tdLavCKkeUa6WDvQ0T2vPWJrsn4Xg8nnjjdLkJOxnAC0wluldNVoifhyYhRP8ZWhGj+Nw2X09EJp+tll1ZWZlKVh+NRpPPcn19PbQ1l2Plv2s2XLxVFvVMEHKiwGeCnMzMHS4UkVNE5FR9DeAxAL4A4L0ALi2LXQrgPU3a8+LGDs7eS2HDSpsuyOxPp+35UJoXCyqybCK9vq+4/slrDUFF+wlGM9xsArfOGBwOh1MeMCs+7FpW9h5F91CF5KxrPeVEhu+nSjxF5yP7rMjUeyEi6Pf7k3LRPbBJ7V5U230dc3ZG4VsrjrcqShf9TBCy0+EzQU52tuLJuhuAd5WDVA/A21JKfyEinwFwhYj8OIDrATy5riE7MOqgqYOvHZhVxNi8HfV0+FCfTYLWnyhMqAJmOBxObIgEjg7i3kvkvSI+bKdeKisG1Auj5XRLIW+vxYsIL2Dsew2RWdFlbbblozBr3ecU3acckdiKxE2VF9OGaq14rJscEdltJyVE17xFobWwZ4KQEwQ+E+SkZm6RlVL6GoAHBMf/DcCjZm3PD3ydTgenn3461tbWcOjQodBDYj0iVngpfn86DUHpexvas32LCHq93sRDZfu1Qsp7xWzo0Yo/W05t8jMGI5EVheS0jD2WC3l5+6J25hEVUZ2qNq0HL+fh8tfl7dfPCpi+p9G2RlV22uMLFFfaxkKfCUJ2OnwmyMnOUqz4DsQzCe+8804A09vXePyMs0i0WOyAbvOtdMDW9nzCtO1bRZmGubQdLW9zu6zd0XpdXnRo0rvH2xKFA/W4D1na+r7uIsRFZJ/iJwVYMaSeSj0e3RtFBa9fTFTL5URpru1o4dmtCE9CCCHEs1Qiy6IDoxUFKmZszpENiVmBFbVdtwp65AmynjXvKVN7IjFnB/Po2ix2tqTPK6rzTFkx6ZeE8NSF9ZqKC++9qzqf83pZ1O7hcLgpfKjl1TtohWydHVVEW/zod23WtgghhJCIpRFZwHQIz+Zj2ZmCWsaH8ezAGHlycp4tWyba/9B6pBTvRYqWDsgJK/V+2RwrLa+z5OwxH5as8kR5j1p0b61Q9HZG4dAoJOpX5o/6sYLPe9M0bKhieTQaTX2e3ptkPVH2/ngx6pd/0HO5cKwnt90SIYQQMg9LIbLsYG9n0ukxTXC25YFpT5MOkH4moSXKxdE+qzxpvn5kS5VHx9rpBZnf+iVnu23TCyV7rio86u9BLsSnniNvu68fTQJossL97t27pyY4DIdDiBSzC3USQG6igbfV26e5dNYeW1/XJLOfh1+clOFCQgghi2ApRBYw7XGw7y3em2M9E7mtZ/x7n/tlvUK9Xm/TQqdV+9lFQsV7S2yoUs/rUhFqc1U40fetglOvv9PpYGVlBQBw+PDh7L2NbIxQT5st77emsYun+nynSLDayQXWTnu/1a6VlRWklCZrhanXS+21ezhaG/WcDeHmPmcrVPU4vViEEEIWzVKILB/+80Rb2YzHY6yurk7yeHTAzgkz+/6UU07B6uoqDh8+PAnRichUIrwNbVkhkQuh+ZCYz6+yHpWNjY2J3VFu0Kz3S5efiIjuZ3QNigoPHzrVa7BeJiWXxxSFPG179n7bhH8rjvx+hLqBtibC+3vvvVEq0uz1+ftiZ6imFC9uSgghhMzKUogsIJ6FpgOonzFnB3UNt9kk+SpPUEoJg8EgnOmnbfv6dqXxaNsX7ynzYUkranJepSrvUhW5MFodPsxpf/tcLVvHL5lgr1HvkW/Dfqa5nCnNw9u9ezdSSjh69OiUTXb5B/t5+DZzocTV1dUpT5e/d7PeP0IIIaSOpRFZFj9w+qRnHVxtaMhivRJ202gVasPhEMPhMPTA+FXVI8Hk846iFeW9UNH3umr53r17MRwOcfDgwUlorCk5QeZttfb4MlrOrnJvtySys/nUuxUtaxGF5Xyembc9ugb9PA8dOrSpfeCYR1FEsLq6iqNHj27yFvprt0LcijZ7jX4bppyHjxBCCJmVpRFZ1hsFTA/gekxDgtaDYT1B1tOiosWu8q7t2Hwm378tF4kZK2TUnqp1qewxfW0Fn505uaANiitticrZ+wVg4lWy1xZ5/VSg9fv9qa2FIg9RTrD6EJ8N81kRrCE8TZS3gs/f00hU2s8ewKY9KecJ2xJCCCFVLJXIAqZngWkStg7emscExMst2PqRRwMoBumVlZVJ6Mh7nPyWL/rbezfU86JCyQsV36Ymi6vguPPOOzetXK6elSqx1TSsWOWNsdfsE8X7/T7G4zHW1tY2Xa+iAkiv2a5vZduKQqkiRXL7xsYGBoPB1Hl7n9V7pvsZquAbDocYDAabrsUuVOqJcrWs8PPCnhBCCFkESyOyonwlAFOeFDsDzHqtvKCKBlWL9YJ4cRSV9wOv7j1oVx9XT4q3Qz1UGrbUjacjO61gq/M+edui+5C7Hmufx65W7/u0HkCbfxXtqxjZpX2ur6+HZb199ifylEXXq/bY9/Y6VLzZPSV9OUIIIWQRLI3I8usZ2Q2VfajKen8sfgsbHfg1ZAhgsvClrZ/LZdJj0QAcea78TDYrVvxG1DrQ+zwn72nJkfPcefGWq+e9ZTZ0l8sp09+6npUvb+9n1L5+Pn6Fe23Xe5fG4/EkTOjFVS7EaG21fXvvWiTcq4Q5IYQQMitLI7JyXhWLFzB+WxvvNalqO/Ka5QSKzf2y5zQEaMN+0R6LUV0VK5pjZMWkr5cTXE2PNSESLjZfzCbCr62tbRJDWj5a+iHqw3u7gOn8OT0W7Wfo70nktbP2A8e8cLZdG6L24U1CCCFkqyyNyPLYAdTm/0TiKOcNATavsWUFkIb91ANi2/RhMxVPvV5v4sXx61P5/Q1taM0LmCqBlBN50blIIOZCX7njXpzYpHM7W9BvqO3biJLe/edlf6LV7309vS47kUGxM0FtfRtijDybUfsUV4QQQhbNUoislKa30bFeCOstseXtOd8WkM9Vsl4LP/PQtquhP5ts771n0W+/eGYUOovsbIoXW5FoyNXLeWpsHZ8T5vPgomvo9/uT6/RCx3qetI6dXGBFjhfWWt7X19c+R8zm7/n7oteh7fpV7P1rQgghZKsshciK8CGcSFBFOUPecxKtBO89H3rM5ghFg3vOTlvfiwe/TY9ddNWu/F4VFsz16e/BLPVy2Huiszu1noZH/fIH1qPkc7msR1Gv04dUdTKA5st5L5O9p7n8OFtHl5TQPREtKq5tLhyT3wkhhLTBUoisyOvhV1YH0OicHZBXV1exa9euyXINR48enerPe8T6/T7W19en9gb0Iq0qzGX3J7Shtkh86IKo/j7Y3/76Itub4sVKXX2fZ+VX1c95B7V9XXRVZwVGkw20np73Ysna6BdMtZMMfN6WLu7q21CBZ8VXJL4JIYSQRbAUIkvxswOB6pl/Ebac3ZfQD6ZRPlfkUcp5wYBj3ikVELa+XUtKvVbWixNtSNz0uqJrasIs3jIAk4R8n5/lbdL2VldX0el0JouFDofDiRiyy21oOz7vTcVT7rq90K0SpcDmGYm2DUIIIaRtlkZkRblTSpSP4z07kZcmpTRZ8DLKD/Jo6M7bEdXRBUbtIpi2H/X8WA+MX5ep6YBflWc1y/GISMTae6x2q3cqmj3Y7XZx5plnYmVlBZ1OB4cPH8bhw4cxHhebeG9sbEzWxrKLrfr1wnweFTA9KzBaykN/W49h1E7k+ay6H4QQQshWWRqRFYWfovWUotBUJBC0bCTW+v0+RATr6+tT9aMtZHK5YN1ud7LpcM7bpR4rFReWWQRWJISq8GLD15u1b/3R8GbkQTrjjDPw0pe+FLfeeive9KY34brrrpuIK788hbbnZ2PaJSOsJzGXi5X73Lz9dVBYkbb44E2fBwA89twHbrMlhCwHJ9szIcswwHQ6naTbpyizhM7qyiuaJ+QH5UggeQEAHEvQBjC1ivvKyspkhp22q+tf2Q2Pq2ydJ/xXJboWmcQdeQ/tOWv7WWedNdkySOtEYdicrXrfzz//fKysrOArX/nKVC6XLW+9hikdm/kZea2aeK7sdaaUtjUL/jTZlx4uj9pOEwiZ8LfpStyVbuczQUhJ02diKT1ZwOalBCJyeVa5tn2+V1X/Nsnb22AT2+1vW27Xrl2hbYsIUy1CQEV5arm2m5xTbr311rB9LZsTNfaYiEzunxdx9rcPN3rRVZXHtwz/XBBCCDmxWRqRZbEixiaL29wbLZcTWlb42HCXF0gppcnSBBo+1Prapu3Lbiqtg3y/358kc2u9AwcOTM0eXPSgHokVf97nq1Xt0ZgTgVGo1N5Xe9x6q5psch0JY83Z+vKXvzxlqxd6Goq1NkdCyt+DSDBWedkIIYSQeenUFRCRN4jILSLyBXNsn4h8SES+Uv4+szwuIvLbInKNiPyjiDy4qSH9fn8iVoB4BXEVNlYgWdFkc3omF1ge15XdfT6X1snt5afler0eVlZWppK/bVK7iGDfvn2TPK21tbWphUwXSZM27T2x9ywnmnLesSahN9uXbS8nbHIhQ780RK69SCDpZ2SvFZje8ih3nT78WMfxeiYI2SnwmSAkplZkAbgcwOPcsZcAuDKldB8AV5bvAeDxAO5T/lwG4DVNDdG1rDRJ2m6DEgkDKx6suOr1elOLaGp9v1Bop9PBaDTC+vo61tfXp1Zyt2JgZWUFe/bswerqKlZWVgBgsq7T2toajhw5ggMHDuCWW27BV7/6Vezfvx8HDx5sffXwnGjwgkeT7qM9FfUa7U/Uhz/m+wE2b1uj+Wv+8+l0Oti1axf27t2L1dXVTaLI9xvZlfPi+YVM7e9er4d+vz/5fvjNvGfkchyHZ4KQHcTl4DNByCZqRVZK6a8A3O4OPwnAG8vXbwTw/eb4m1LBpwGcISJ3b9DHZHFOO8Vfz0UCzM5Is4JDBZAusWAHe6AYdFVcRXk7fqAeDAY4fPgw1tbWMBgMJvX1xy+i2VbIqamXxSbf6730Akjb83WitrSsX6YCwKa2fe6ZnaVpPwsVf91ud8r7pCLIh4mlzNHau3cvzjjjDJx66qmb1tPSfrzQUzGum3FrH5G4a8rxeCYI2UnwmSAkZt6crLullPYDQEppv4icUx4/D8ANptyN5bH9vgERuQzFfzEAsEk0NVms04oiHWD1uC1rc7p82SikZcNLWifK/4m8Jjmv0LxUhdhyNM07qgsRRiG/yBbfZjQRwIf7dKNte97ve2jZ2NhAv9/HhRdeiAMHDkwJSN935EX0W+yoh02Fc3RdM7LQZ2IX9mzFFkKWAT4T5KRn0Ynv0agdjlwppdcCeC0AiEjyosYShXZyQibKxbFeLDuYZ+yavO50OlhZWZmIvvF4PLXnXWTPoj1Zufas18iLqSq8+LH1o3tsy9h76Tf0tmVse+qtOvXUU3HBBRcAAO644w4cOHBgaqFYW9+2ab1aR48exTXXXIOUEnbv3o29e/firrvuwtra2qSOz7/yAtuLxQUJrCrmeiZOk33MwicnKnwmyEnDvCLrZhG5e/nfyd0B3FIevxHABabc+QBuatJgLv8KmF6zKueFsksueKqWbPCDrxcc1uviw4nW9u0kd98U78WLykZiQ495kRstkZCrY/PC9u7dOzlv1xCzK8Dr/Y1CeePxGIPBAAAmvyOhp+8jj2SVQN4iC38mCNnh8JkgJz3ziqz3ArgUwCvL3+8xx58rIn8M4OEA7lR3cR2RuNHffgX2qFxUFohFlBdiUShMhZv1XDXJ34k8RYsgF+rLhT+BY+JUF3q1GydrXYsXYXreboCtfdhy1lO4Z88enHnmmTj33HNx22234dZbb53cx6uuumpyP21fPj/Kes1s3pfFCj1dYNaWqwoh+89R7bfhyzlY+DNByA6HzwQ56akVWSLyRwAeCeAsEbkRwC+heGiuEJEfB3A9gCeXxd8P4AkArgFwBMAzZzXIJjt3u91aL0Nu4KzaYsV7Yfw5PWZDTlHyuLehTeoEkUfFlYiEQtFfr57TpPCU0mSD7Zy4s8est/HQoUO4/vrrJ/U15KeTEnI2aBkVa7t27ZpMOFDRG90Xm78X3ZcqgaXHopy1HMf7mSBk2eEzQUjMUmyrIyJJZ4vZXBw7E03PaSjJlrXndMDXc7q9TdnPVL9VYb9oI2T/ui2a5AlVheq8h8kLDL+cg94zuwaY7jvosZ9PtDG2vfedTgd79uyZ7PN48ODBqRmZvt3IS5nzUHlbcgLJz0b14itH4rY6hEzgtjqETLPjttVRqrwc9nxUR7EDqvWc1FEnrKr69DZuRYTNUtd7bSKvnB7v9XqbNmNO6dhSCra+nbUZ9alLLuh5K5x0gVZdS0zL9Xo9pJSmVsLP5b6pN63JLNPcOT/70J5v+p0ghBBC5mXpRJaiYS7g2HpHNr8q5wmxwiASFNq2/W379K+jTYfrRNAsoacmRB4479GxniQAm3KvVNyoJ1BX19f7ql4sTSi3G2krdq9GABNBZNcq86JoMBhgMBjgyJEjm2zXe6S5V7q+GYBNIi/npbJ9+s+vSpDnwqeEEELIolgKkWUHbh14vUio8qxEx+1gHomrKPzkw1J6zNb1r/3gnPMqLZIo58j2nfP+7d69eyK2dA9GLbe2tja1aOuuXbvQ7/cnZW1f6nVScaN1zj77bJxxxhk4cOAAbrvttsnisj6fyoYnrbdJvVcAJueiddBsG1Xo9fgFbi11+WaEEELIvCyFyAKahQW9R6oqjKeDsvd6RYO1P2cT3qvCSlH/bQ3QKhj8Ol0+adx6g4BpQeZnz+XuA3BM5NgcOC3jty1KKU0JMt26ZjgcZkOwKnzs/bZ9nHfeeRARHD58GIcPH54s9+DLRblcms93zjnnYDQa4cCBA1hbWwvL+ntICCGELIqlEVm5WWtVYTo/+OdElxcEdjac9bJEQi8KSx5PfBiwThBYEeI9RnbVentfrKjUMrr/oi2nDAaDTRtra/7VzTffvMkzaT2FVljZ1yrM1tfX0el0cNNNN015MLUt63ms+i0iOHTo0GTPwrW1tU3fBX1t1wHL5YERQgghs7IUIiuXXA5UJyhH4cBc0rcf1IE47yjK2akSfm2jffm8ozovnpaJwqy+DZvErrlT0VZEmrfV7XYxGo2mZm1G4Vc7AzHa49Few3g8nuwnaUOIOW9hFPq1wm9jYwPD4RCrq6tT57Sszma1QlLbpMgihBCyCJZCZInIVD4OEC+v4AdTHcSj5GcbMtO6NkF7PB5PEsG1XpS/lbPX27ZIIjus2InKr6ysYM+ePZNZgroNjb1vNr/Mh/F0bz87A9H3qeFIFVfRIqUaStSy9v74e63HVOiqiMtds9843P4GNodDjx49OvGMaYK/z2ezS0542wghhJCtsBQiC4gHTe+xsAIql5vj83v6/f7U2kzRquVR7lbkmamye5HM4tWzx2y+lhUkms+1a9cuDAYDDIfDyTHrNbL3ZjweT83otPdZBbEPuUaeRWtHFEJUb5vNgfOiSOt4YVjltbT3xPbt7529xtw9JoQQQuZhKURWJHI0LGUHcMUO3Dbco23ZNu02Ln6Gm8/xiQSF/s7ljFWF77ZCzlvmw356XJPOV1ZWsGvXrkkultq+a9cunHLKKZtElYhgdXV1cq+Gw+HU6vZWtNk8r06ng/PPPx/dbhfXXnvtxB4farOeteja1Itpr8d6wVQcdbvdyXpe6+vrU3bWhVBVbHe7Xayvr099n8bjMexCuMczFEwIIeTEZilEVpTQrGLAe7Jyg6AVY5FwisrnvFW58t7eyJOyKHJ5R5G3zZbb2NiYrHUFYLJNztraGo4cOTIlMGzOlO5raHOVctenOVz3ute9cOutt4ZiNRI+kYgGMDXT0F+vHldvl8+vs9cfvbbhUCu4c2FIQgghZFEshchSor3OPksAACAASURBVNwd+9u/toO29X5Eyeq+fNS33SuxquzxGJR9MrbHh7lSSlhdXcXu3buxuro6WQTUhgRtCFCFzWg0QrfbxWmnnYZTTjllstzBYDDILmGhIcePf/zjE1tXVlYmYsZiE+/t9fjV2L3Ayn0O3h773m7DFIV/vchTr5wV9AwXEkIIWRRLIbJy3o6cOPJejqiMHotyunJ1qmaVHY8wkrd1165d6Ha7kw2SVRwB0/lTWk8T363gtLMArZCxOVD6++jRo1P5a957qEL09NNPx969e7F///6pFfGjz857I/1574HUY3WeRX+/7L2J7Ig+exVYIjK1MCpDhoQQQhbBUogsIBZSuTyeSAz5kJU/5/tpOpAerwE3slEFTxSG8/VEBHfddddECNmQWnQN1rMlIrj99tsnfeRClfp6NBrh8OHDm7Yc8h7EnDjOhfSq7kV0PPqsc3lZuWN+LTAKLEIIIYtiaURWLkyjg2md18qWt23WDfxRnZxdbQ3A3sumr3XFdGuDXXLAzu7TuuqdqcohA4rQWr/fn/L+WO+VDS3qTERdnuHgwYPh/ciFaZUqb2NkY05I+fNNBJp/Xyf0CCGEkK2yNCJLB0y/krh9XRc2smXsTDgdRJvkUh3vgdaLKz/4R+EuTRrXWYHr6+vZPQKth8+KsShE54WGz1Pyexh6Ig+YF0HAdD6UJtzbNr1X0gq/3LV5O2yZKFRs7e12u5X7GxJCCCHzsFQiC8AmL8ws3qsocdkPnNGgfzyI+vUeKl11HcjfBys8dDFVL5Sivr1YyyWd+0VcfdnI/sh7psftMd3i5qyzzsKhQ4cm4c0ojOjtVmFpxZUNd1rhmNsOyApJ25e9j9F3iBBCCJmHpRJZNpnbn6ujKsw3Szu2vh2MtyrMcl4da6eKBj2usx1tXpZtz4qYXF6ULR/1aa/RLlCq53IiKJfMrmX7/f6U+NLfw+EQd9xxx9RM0MienIfPbuuj98bjFx7Necj0nF8ni9vqEEIIWQRLJbKi102IQmpeIM2a3NzEgzYPkRi0GxT7VddzeUmj0WjTNjK5/nzYNKWElZUVdDqdycxFLafhu1xCuhV23oNkr280GoWCL6U02R8x53WLXms41G9yDRzbh1CxSf2236g/zTNT0aq2E0IIIVtlaUTWVsh5iXx+ked4hg5zISgd/DudziYPSi6M5kVOJCj9MS8cfHhWRV1ukU+ts7GxMZU3F3mi7DkVd35/Q+CYmFGhAxwTU5Gt0b2z7eSS2b030oty9YpZsUsIIYRslRNCZAHVMwSjY009WrOSCwnaWYI+f0mTrnMzCTudzmSxT10Dyyd0W0+Uns+FJqMwoD+m5Zokj0dEExj89fqy+tovEGpDydE12XL2XkQ5Vj7/zHqw7Ar4hBBCyFY5YUSWJfLsRESD7yL6rjse5TMB+RXLVRCMx2Osrq6i0+ngyJEjU14wG17U/nJ5aVEyuPZjV73XY71ebzIT0Npt7czlQUV9+9w7XSzVXqcKp263GybV2+uzQioSqxbtw4dPq+wmhBBC5mFpRNaiBE8uYbouGbwNohwxm9hufwOYeKD8+ld21XbgmOfHCg0bZrPrX2k5oAjLra6uYjweT3Kx+v0+UiqWgch596y40h8VP3VJ4t67FJ23IU4VYJ1OZ7LR9dra2ibPmJ1taPux2HPRpAorEqu8ZYQQQsg8LI3IUqoGuFxuUu7YPINl1aA9K5H3yucF+fcbGxuTpHF7vXYzZT/bcDweo9frTZYiWF9fn2pTX4/HY6ytrU2F6rQvFU16LvKqWUEUrSYfec9scroVMlreex1t+0ePHt10L61N/j5oH1re54VFQk+PNRGMhBBCyCzUJqCIyBtE5BYR+YI59jIR+YaIfL78eYI591IRuUZE/kVEHjurQdFgaHNs2vQytN1HzlungsCH++yP3Y8Q2Lwtzvr6euVimpr8PhwOp/qym0f76+52u1Mz96zHJ+eh8qJRX+txu7G1vdaoLdtn9N6HC21o0+fBRXb6a8952zzH+5kgZNnhM0FITBNP1uUAfgfAm9zxV6eUfsMeEJH7AXgqgPsDOBfAh0Xk4pRSrYvAe31yHh//uoqcVyp3/HiEiWzYy4uiSKD4c77McDicykeyIUnvJfJt+7ymTqeD3bt3YzgcYn19fVOYUEWLzsbzn5kPc3pvm/bpQ6fR5xOJXR9u1bCo2uM9gNZLZa/Xno9EWwMux3F4JgjZQVwOPhOEbKLWk5VS+isAtzds70kA/jilNEgpXQvgGgAPm9WoRYidyBO2najnRNe3qgt1ejHgz1uvknq5Io+YX2jThvmsd6nf709CjipKvBD09SyaI3X22Wdj7969oZ16LVViLArn2UR1K/iiBHfvoYp+9H755SJyHj3PdjwThCwzfCYIidnKfPXnisg/lm7iM8tj5wG4wZS5sTy2CRG5TEQ+KyKfrepk3vBdJAgWGXZsGFaqtS93TsWA/vaerCqsoNB9DdUee/3Wk6WhxMFggOFwOOnThip9vpgVPuPxGMPhELfccgsOHTo0dQ+kzPnK3Z9OpzOZNRmJSw2L9nq9SThwY2MDg8Fg6t5EAs1/D3JeTLWjamZiAxb2TAwxmNcGQpYJPhPkpGZekfUaAPcG8EAA+wG8qjwejU6hKkgpvTal9NCU0kPntKES6/WoKzMPbYQW60SZLZMTkPaaIiHnc742NjYwHA4n3jXrYbJ1fN6Uz63KicAqG62dfrHUKg+VtUW9cCsrKxMB5vEhUm9LZOscLPSZ6GN1K7YQsgzwmSAnPXPNLkwp3ayvReR1AP6sfHsjgAtM0fMB3DS3dXMQ5dlUeYzaDCPWDdqz9l3VXtNzKU2vaWUXNtXV3FW8RCvQzypEer0eut3uZOajtceG/WzoUkQmounw4cNTMyrtKvN2CQf1+tnr08+32+1iZWVlKn9L0TCnrs8175Y6y/xMELId8JkgZE5Plojc3bz9AQA6o+S9AJ4qIqsi8s0A7gPg77Zm4mxUeVKA/DIQixZbTdqrEy2R1ydXZha7vAfK2qGCJrdEQ87mOq9Q1cxHW8f270OBarsNXQ6Hw4knzoY4fa7VYDCYCCgbErQTEaItfZqyzM8EIdsBnwlCGniyROSPADwSwFkiciOAXwLwSBF5IAoX73UAngMAKaWrReQKAF8EMALw02mLM0aqPFFN6nqqvFqLps72KuFU1V5OKM6CbSfKWfJrUEX1o/wlf812IVV/ThdCjbxHg8Fgk23exlyI0d4n3RdRvWA2LCrlTMncLMcc2/1MELJs8JkgJEbaEBczGyEysxF+wLaCwXtUcmJhEcnvi7h/kVCZp68mtvh7Ft1D/zrXrt3zzwsgFTe6MGpKaRKWsx4nraOhQy0bracVYT1cuWR2bdOe94ujalgRgC7Yuq3TUU+Tfenh8qjtNIGQCX+brsRd6XY+E4SUNH0mlm7F96ZEA6r3zmyHDbPSNNRXJY5msSXneZrHO2Y3ZvaCKdrWJ1o+wn5eNj+sKrzoxaAXULZNtdHakhOsTUKahBBCSFN2rMjy+Nyh3DlgOqwUnT/eNMkTy12fD5E1JefB0nOziL9IHEVescjbFAnjKtHnr9OHLas8X9ZbpeVszltb+XmEEEJOTk4YkaXMKzSWgXm9U1shF5qcBytarJhR7PY1UV3tO3cfbHK9F1oabrTeMh9+VLuiBUetSFy27wUhhJCdyQknsjyzhtYW4d2aZQbjVvubN+nd29CkncjWnPCx7VoRZPFLLuhyDjq7sCqEGb224T57TRo2tEs+2OuxtlBgEUIIWRRLJ7JmmRHYhFnytKxgiMJS8/SpbTUp2yTZPLJ5njp11xa1WxV2rctnqhJNdhsfK8qq7K4Kd+aOa2gzSoLvdDpYX1+nyCKEELIwlk5kWWYZ8OzGwbnE6qpZhnrOi4WthM5mqZ9LQK9qIyd6FiEUZmkj2t8wys2KPFqREGpyXbN8Lnpv/bZA/pyGOP0irIQQQsg8LI3IarpsQZWQ0AHcD/JRonu0+fG8XrSqcFvO/qZ9WPt92ZyAbCK2moiUWcVddN7bFglgX6dJIrwtm7v/NhQZ2bssEx8IIYScmCyNyMqtZxQN0F542IHWeiGqcoV6vd7UyuZRuabkBF9V7lOdyLEeuTpRY71gdcKqSbkmzBKm9CHAXGjReyFtP3Zl9khY2bW67BpYUVv+e0GxRQghpA2WRmQpVkA1Dd01ERa2nN2rbhGCo6lNTXLCmpRt6jXLnZ8lyb3JuapcrSb9VYlhxYos7ynzHqsoV8wKKivk7N6JFFmEEEIWydKJLEWFkPdINPEAWTqdDnq9HlJKk3yc0Wg0lYhdF4LcShJ6nSCJzuU8VYuiLc9NVSjU9unDf1VJ81pWPZS5XDtNaBeRyTY+kX0qqvQ7Ydvq9YrHIVefEEIImYWlEVl+0PQDYCQ8fA6WDSV2Op3JlH3d4y7Kw4pssOe9B8SX0/78+VzydJNcqFxY1J6fNyFf62+Fus/GlotCgHXnmthr74/3bHnsd0s3l1Yhpcnuti49WoQQQhbB0ogs4Njgpt4Ge8wOxva1iiabk2NFV9M98Jrk50SJ5rkk7yYhsFw/Te2oo6n3z7cdeZu2asOs5+qYxbtXdS02x6ut0DEhhJCTk6URWXZw87lSmshsy+rAaXNuvGdEf2soqapvP8DmZu7Zc/o68uj4hO2cl6SpZ8uzqBmEVWWrwpf6O8p5m4WcYM3ZOK8IygmtJoKSEEIImYelEVmeaODzK3rnEsU1XGhzdXwZyyxhr6qQohdU9vVWvTa+PXtuEd6XJm1UidB5PVaziJu6sOBWaHIdhBBCyCwsjcjyIRsraPyWJ3Yw7PV6m3JubNl+vw8Ak+UaotlpTWb1VXk7qrxeKvY0bOkTuKN+vWcnlw+WK78Iz0ydhyryLM7LIj1JW0nqp8AihBCySJZCZHlxpUQ5WLnjkTfKerMigWXbi+rX5TT5AV37qwp92rpeWOVE0qyD/yIFSxvCI7qvTXLi6ojyqhgGJIQQsl0shcjqdrs477zzMBgMcODAAayvr0/lWwHxgOzXQPLiZDQaNRqs5x3YtT9bPyemvHeuKtxp31cl0C8iFJmjSgjZ97OKmDa9Rf7+ew8gw4GEEEKOJ0shsjY2NnDzzTdjPB6H4bRIUFR5t+Yl53GyfeSWVfDl6+xpmswehQyB6rWltkJV6DMqu9UwYdWxRbe/yHAqIYQQUsdSiKyUEgaDweR1nWepSSJ13eDc1BMUJb1XCbHoWErxiuRWKOZElz9vPWFbEZZ1IVC7JEZkt75vKiqja5jX7nmS1KsEHQUXIYSQNlgKkQVsXsIBiAd1S26wbjL4zjpA54RWlJTe6/UmOWBVQqROxDQRLHW5XrZdX97a7UVVEyEblfW5bVHenC/bVEzPKiyrhFjuOEOKhBBCFsVSiqzcsSZiqq0Bson3SsvYZSNmCestQhw2uSdVSf6zMMsyDvO2a5knZ65pua141wghhJCIpRFZ8xANjFWenEUMoE1ETtN+moapdBLAIq4jN6Mvl6cUea38TNCq66jztDURr1ulyvNmjzFsSAghZJHsaJHV1JO1VXFV56XZyuzEqJ1ZbJg1r8iKiZyAqrLRH5vV69T0mquua5HepijHjRBCCFkEnboCInKBiHxURL4kIleLyM+Ux/eJyIdE5Cvl7zPL4yIivy0i14jIP4rIg9u+iLZp6r2aVWzViSo9n1vfa17UXu+N8l4u75Xz722SvNZvMiMxEnI210rvZWSP7de2V/WTs2HecCmfCUKm4TNBSEytyAIwAvCClNJ9AXwHgJ8WkfsBeAmAK1NK9wFwZfkeAB4P4D7lz2UAXrNwq5eUWb1okfdHf6oWT821FYmiebDeHS8crTDRjbyjfqRMptefqJ2cJ60u/LiIa9wifCYImYbPBCEBtSIrpbQ/pfT35euDAL4E4DwATwLwxrLYGwF8f/n6SQDelAo+DeAMEbn7wi3Hzp16H3mH5hELVpREIcCcJ8hixY8VeN7OqGy0L2TOI2VFV85Gb0fTezPP/WuaU5apu7TPBCHbAZ8JQmKaeLImiMg9ATwIwN8CuFtKaT9QPGAAzimLnQfgBlPtxvKYb+syEfmsiHx2drML2vBiLEq45QbwSLjoz6yCy7cdCaZ5BZxv39pnr8V63HKeuZytixTJdW1V3Xd9ryJwxn7viRaeiSEGM9lByLLAZ4KQYzROfBeRvQDeCeD5KaW7Kga16MSmUT6l9FoAry3bXpqMY59z5K9TB+E6AZPLX6oTXfZ47h5XnbN9NBFXuTLW3lyITs9VtVPlLdqKAKyyucpjV2ffjLlZrT0Tp8m+pXkmCGkKnwlCpmkkskSkj+LBeWtK6U/LwzeLyN1TSvtLN+8t5fEbAVxgqp8P4KZFGdw23nsTLdJpPU8quqzgsG3oNkG2Tf+Hx+ZeRcIl57HKEYm7OmGWa8fWiwRonUjT87kFZhfFVtvz11rHyfRMENIEPhOEbKbJ7EIB8HoAX0op/aY59V4Al5avLwXwHnP8GeXske8AcKe6i3ciOvDaUJLNMfIixpfpdrthAnin05k6VyVk9HjT8J/3mjX1aPl8KttGVfmmtCWwFkkT2072Z4IQD58JQmKaeLL+I4CnA/gnEfl8eeznAbwSwBUi8uMArgfw5PLc+wE8AcA1AI4AeOZCLT4OWLEUnbMLg+oxJRc+8+1ZAdXtdtHtdqcSz+s8RFEfnihHKieaFhHOi7xeUZhx0diQpr8/s3jvZhCBJ90zQUgNfCYICZBl8CosU04WgIkHyobEdMBumtAetanl6sJ/VmipqFv05zRr6FDt0rpVocLt+k5FArTqM9Ny0f1PKW3r1NXTZF96uDxqO00gZMLfpitxV7qdzwQhJU2fiR294nubREJBj9nkd8WLsZyQigSKrav11bMFAP1+f5LTtLGxUevpmlfkWMHhBUvkJfJ1t5Mq4dpU4Opn4/PoCCGEkHmgyMoQCSab6A5sFjRa1teJBIv1rthNpG3dKMG+bsPpRYkd305TL9B25V1VhQZzwjcqRwghhCyKHSWyoiTzTqcztU6TFSgadpulfZ+HpMdyienav8WLqJwAUI+VbdeGByOPWc6WWfEhtCiHKhcSja5pmZPa68TVPKFTQgghpI4dJbIUHRR7vR46nQ5Go9EkGX0ridZRuCw6FgkrS7TVTJN8pkic6XG9Pm3bJslvhSa5ZJHwqkqgb0No1Ym4rSS8z1qeEEIIacKOEll+sB8MBgv1oOQS3r34GY1GAI7NCvR5PCmliYfKb1GjyzWot8rOVMx5lazHzHu/hsPhloVWFbPMMIzKzfr55LxnTWZS1gnAuvqEEELIItlRIsvSdPCdBRVXKoQ0ydyHIPV1lS066Pd6vSmhop4oKz6i3K8ItSuqmwv/zXMP6kKHVuTVzXycxY62vGCWqtAthRYhhJBFsjQiKzfwAe0IKtuH7dsunZCbUWfDduvr61PtqfCxa1/5a/EeLD1uV0X3CfArKysQEayvr2NjY2Oq362ESD25+vZeeK+dZSsib1G2zxv6o9AihBCySJZGZFl82Md6TmwYb571o6JZZjbXyofzogRvO9PPCqLxeIxOp4N+vz9l+3g8xmg0CkNaPizpk/mVI0eObApdWpuOhzho0sd2i5R5k9y3225CCCEnHkspsnyYKrdUgi1rPUPR7EDg2PpWduubXBK7DR36NvW9PW9fb2xsTL32Ntv6Np8rSrb3YUYvvmbJdVpU3lrbgmSR3rAmCfH0YBFCCGmDpRRZSiSCbOhQc540GT1KJFfvkE1qt6E5n5juBZfWsZ4tO9NP+4k8U9Hg7fOn7DXW5UL58pYmieGzUpd31haL6iPyWFbl1BFCCCGLZKlEVi4sV5WbpRstj8fjTXlOtq7PidLXkYixIinyVKkgsjMIc7PbbG6Xt8GvLO7rb2xsZMObVmgtWiRU5cdZli2pfRa2mr9FCCGE1LE0IsuHyjS3SWf4ReU1EVzr+bbscS+c7CBrE859fS+gbD0b5ut0OhOv2mAw2GSz5lp5u6LQZ9WMQ+tZA9DKFjBtiKG2Ji0samYjIYQQsmiWRmR5xuMxNjY2psTGrInu3rukr6P8rbrQnm0z6sfa6uvqeZ97levTtuvFlh7XBVhPZiGxiGuvuv+EEELIVlgakeVDdSok7Dn1QOW8Wx6btG5zqXIhRS9q6vKsvJCy4Ts/81CP6++cwLJeNe/5SqlYfDSaYbhVIu9fVaj1ROVEvz5CCCHHj6URWYrPmbLkZg9G53I5RHa2Xk782PL2eGRPt9vFxsYGut0uOp3ORADaZSeqBu4oV8v35ZPij3c4LycsCSGEEJJnaURWVRJ31ZR+L4SqkrZzQsF70SIi747dgkdztKwgipL3vU0aZvTHtU/1irWRe1WH2rUdfRNCCCE7naURWbMkMEdCym854+tHMwl9GW3Dhv58+cijpF4s/T0cDsP8r9w1RXlfkb070YO0U+0mhBBCtsrSiKx5UWFl18Cy5NafAoB+vz9Z+kHb8uFKuwio9zJZD5jNE7PeLbsGlveCeQ9VNKPQ2rMTBUsUvt1p10AIIYTMw44VWXYZhijR3IbaPJovpQuYKtYDZUWSLeuXd8gl0ke5ZfaYroFl+9Iy3puWywnbSWyn7f7ebrc9hBBCTg52rMjyITV9r+JLz3kxBmDTuli+3ehYLqfK4sON3j4f/svN2lP7bD4X86Lmpyo0SwghhLTF0ogsL1rs4p0+mdzPdrNtRAIq2oImN6tP61pBZpdS8N4y2163290UWrSzGaPrtDblkvd9fycCx/N6TrR7RwghZGewdCIrSgLXc3bdqyovVNW6TlG4L1q6wXqk/N6J6iHTRHcVd35xUC+YbBjR9qn1VNB5EemPnQgcz2s5ke4bIYSQncPSiKxoGYMozJcLuVWFAHPeI99HVC7qU4/7hHQrBu2G0rYvK6iia7erwluhp569tvYrPFE50cQpIYSQnUOnroCIXCAiHxWRL4nI1SLyM+Xxl4nIN0Tk8+XPE0ydl4rINSLyLyLy2HkMs2G5aLkFn0wehdSsF0jfax0A6PV62aUfvDiKvGI2uV5/b2xsYH39/2fv3eNkO6s679/qunWnzzlJTm4mISQIQQm+HyBmEB1wUBggUQy+M2Dg1WQQCL7KCA6KeB0cdXQYLgOf8XUME0wIIILcInI1cgkil4BcEjOBk0BIyCGHk5Nz7e7q6u71/rH32r1q9bOrqrurum6/7+fTn67a+9nPrfZT+1drred5lrGyslLMOLQtdTYTV5UqL+5/OG6k+nnQDEJgDWtMEDKqcEwQkqYXS9YKgJer6pdEZDeAL4rIx/Jzr1fV1/jEInIRgCsAPBrAOQD+XkQeqaodFUaMh0qJDKD9oemtTF58eLdiysJlD3u/bU/Zw9hEmM+zrO5l9ewU8N5peyBvKYtuy3FkgixKOzImCBkjOCYISdDVLKKq+1X1S/nrYwBuB3Buh0suB/AOVW2q6jcB7APw+F4rlIpt8pjgiVYde2/LM1jaWq3Wlt7iqHzaTmVF92AMwLeAd1+uvfdWMivT51cmmmJ8WD8E1k5bkCaZnR4ThIw6HBOEpNmU70lELgDwOACfyw+9RES+KiJvFpFT82PnArjHXXYvOg82ANggYFLWLC9UvCvQz9yLLsFUGT5Nt3itGEwfLVozMzOoVqttq7574eUFVyqovazcfjNBVqSRYpBjgpBxhGOCkHV6FlkisgvAuwG8TFWPAvhzAA8H8FgA+wG81pImLt/whBeRq0XkFhG5BWiPe/KxTv5vdXUVKysrG1yAqlqc84HjwLpL0Vu+YjltHeKsTZY2NcPQjq+srGBpaQmtVqu9wcGt6evuRVin7YDIaDPIMdFCc0C1JmRwcEwQ0k5PswtFpIZs4LxNVd8DAKp6vzv/JgAfyN/eC+A8d/lDANwX81TVawBck1/f0cwShZCJnpQwSQWw+6B4i2/qZkWK1q5Oy0HE86kA+dQ1QCbq/JY8ZDwY9JjYI3tpeiRjBccEIRvpZXahALgWwO2q+jp3/GyX7GcB3Jq/vhHAFSLSEJGHAbgQwOf7UVkvYuI+gSZyvEXLi6pWq9U2w8/O+XitbqItxmMZPl6rTIxZWSmLXaVSQa1WK/7q9Trq9fqOWrloSeudURoThIwCHBOEpJFusToi8kQANwP4GgAzt/w2gOciMwErgG8BeLGq7s+v+R0Av4hsxsnLVPVDXcr4HoATAA5utSETwOlg+0el/eer6hllJ3doTBwDcMf2mjH2jNI9MQxGqf0cE6PBKN0Tw2CU2t9xTBhdRdZOISK3qOolw67HsGD7p7v9EfYH+2Da2x9hf7APxrH947uyJSGEEELICEORRQghhBAyAEZJZF0z7AoMGbafeNgf7INpb3+E/cE+GLv2j0xMFiGEEELIJDFKlixCCCGEkImBIosQQgghZAAMXWSJyDNE5A4R2Scirxx2fQZBvmfXARG51R3bKyIfE5Fv5P9PzY+LiLwx74+visjFw6t5fxCR80Tk4yJyu4jcJiIvzY9PTR9sBo6Jyb8fOCY2B8fE5N8PkzomhiqyRKQC4M8AXArgIgDPFZGLhlmnAXEdgGeEY68EcJOqXgjgpvw9kPXFhfnf1cj2/hp3VgC8XFUfBeAJAH4l/5ynqQ96gmNiau4Hjoke4ZiYmvthIsfEsC1ZjwewT1XvUtVlAO8AcPmQ69R3VPVTAA6Fw5cDuD5/fT2AZ7njb9GMzwI4Rdq3phg7VHW/qn4pf30MwO0AzsUU9cEm4JjImOj7gWNiU3BMZEz0/TCpY2LYIutcAPe49/fmx6aBs2x7ifz/mfnxie4TEbkAwOMAfA5T2gddmOa2T+X9wDHRlWlu+1TeD5M0JoYtslK7Ek/7mhIT2ycisgvAu5HtU3a0U9LEsYnogx6Y5raXMbF9wjHRE9Pc9jImWEdCYgAAIABJREFUtk8mbUwMW2TdC+A89/4hAO4bUl12mvvNtJn/P5Afn8g+EZEasoHzNlV9T354qvqgR6a57VN1P3BM9Mw0t32q7odJHBPDFllfAHChiDxMROoArgBw45DrtFPcCOCq/PVVAN7vjl+Zz5x4AoAjZiodV0REAFwL4HZVfZ07NTV9sAk4JjIm+n7gmNgUHBMZE30/TOyYUNWh/gG4DMDXAdwJ4HeGXZ8BtfGvAOwH0EKmvl8A4DRkMyW+kf/fm6cVZDNp7gTwNQCXDLv+fWj/E5GZcb8K4Mv532XT1Aeb7C+OiQm/HzgmNt1fHBMTfj9M6pjgtjqEEEIIIQNg2O5CQgghhJCJhCKLEEIIIWQAUGQRQgghhAwAiixCCCGEkAFAkUUIIYQQMgAosgghhBBCBgBFFiGEEELIAKDIIoQQQggZABRZhBBCCCEDgCKLEEIIIWQAUGQRQgghhAwAiixCCCGEkAFAkUUIIYQQMgAosgghhBBCBgBFFiGEEELIAKDIIoQQQggZABRZhBBCCCEDgCKLEEIIIWQAUGQRQgghhAwAiixCCCGEkAFAkUUIIYQQMgAosgghhBBCBgBFFiGEEELIAKDIIoQQQggZABRZhBBCCCEDgCKLEEIIIWQAUGQRQgghhAwAiixCCCGEkAFAkUUIIYQQMgAosiYIEblNRJ487HoQMgqIyJNF5N4hlv8tEXnqsMon442IXCAiKiLV/P2HROSqHSj3VSLy1kGXU1J2W5snAYqsbbJTX6S93Piq+mhV/cSg60JIL4jIJ0TkQRFp9Jh+R79g87Lu9+WJSFVEDoiI7kQdyHiTf/8visjx/F76SxHZNYiyVPVSVb2+xzoN5JmU/3BREXlPOP6Y/PgnBlHuOEORRQjpOyJyAYAnAVAAPzPUynTmMIBL3fvLADw4pLqQ8eSZqroLwMUA/hWA340JJGNSnrffA/BjInKaO3YVgK8PqT4jzaR86COBiPwHEfm0iLwm/wX/TRG51J3/hIj8iYh8XkSOiMj7RWRvfm6Da8N+kYjIMwD8NoCfy38xfaWk/OIXTG75epeIvFVEjonI10TkkSLyW/kv9XtE5Gnu2ueLyO152rtE5MUh71eIyH4RuU9EXpj/anlEfq6Rt/nb+a+5/yUic/3qVzKWXAngswCuQ/YFXCAicyLyWhG5Ox8Hn87vl0/lSQ7n9/mPRgtuwoXS8b7tgRvyuvp6vyXUt7QMETldRD4gIodF5JCI3Jx6mIrID+bfB1dssn5kTFDV7wD4EIAfAorv+z8WkX8EsADg+0XkZBG5Nv8u/Y6I/JGIVPL0lfx79KCI3AXgp3z+eX4vdO9f5O7LfxGRi0XkBgAPBfC3+Rh6RZ72CSLymfw+/Yq4sBIReZiIfDLP52MATu/S1GUA7wNwhdUbwHMAvC3U9w35c+aoiHxRRJ7kzj1eRG7Jz90vIq9LFSQi/y5/rv1QlzqNLBRZ/edHANyB7EZ9NYBrRUTc+SsB/CKAcwCsAHhjtwxV9cMA/iuAv1bVXar6mB7r8kxkD5FTAfwzgI8g+8zPBfBfAPyFS3sAwE8D2APg+QBeLyIXA0Au8v4TgKcCeASAfxPK+W8AHgngsfn5cwH8fo91JJPJlci+dN8G4OkicpY79xoAPwzgxwDsBfAKAGsAfjw/f0p+n/9TD+WU3rc98j4APy4ip4jIKcisb+/fRBkvB3AvgDMAnIXsx1CbqzFP+1EA/1FV37GJupExQkTOQ2YJ/Wd3+BcAXA1gN4C7AVyP7Hv/EQAeB+BpAEw4vQjZffY4AJcA+Pcdyno2gFchG2d7kFmLH1DVXwDwbeTWNVV9tYicC+DvAPwRsvH26wDeLSJn5Nm9HcAXkT2z/hDhR1EJb8H6j5OnA7gNwH0hzReQPRP25mW8S0Rm83NvAPAGVd0D4OEA3plo4/ORPVueqqq39lCnkYQiq//crapvUtVVZAPqbGRfvsYNqnqrqp4A8HsAnmO/ZAbAzar6EVVdAfAuZA+CP1XVFoB3ALggf7BAVf9OVe/UjE8ieyjYL4/nAPhLVb1NVRcA/IEVkAvIFwH4NVU9pKrHkAlC/mKfUkTkiQDOB/BOVf0igDsBPC8/N4PsR8ZLVfU7qrqqqp9R1eZWyupy3/bCEoC/BfBzyO7ZG/NjvZbRQjbGz1fVlqrerKpeZD0pz/MqVf3AVtpIRp73ichhAJ8G8Elk33/Gdfn35goysXEpgJep6glVPQDg9Vj/rnwOgP+hqveo6iEAf9KhzBcCeLWqfiG/L/ep6t0laX8ewAdV9YOquqaqHwNwC4DLROShyFycv6eqTVX9FLLx0BFV/QyAvSLyA0hYf/M0b1XVB1R1RVVfC6AB4Afy0y0AjxCR01X1uKp+Nlz+MgC/AeDJqrqvW31GGYqs/vNde5ELEgDwgZD3uNd3A6ihu3l2q9zvXi8COJiLP3tf1E1ELhWRz+Yuj8PIfpFZvc4J9favzwBwEoAv5qbowwA+nB8n08lVAD6qqgfz92/H+q/j0wHMIhNe26bLfdsr9qs8+bDoUsZ/B7APwEdzV+Irw+W/BOAzqvrxTdaJjA/PUtVTVPV8Vf1lVV105/x35fnIvu/3u+/KvwBwZn4+fs+WiSYAOA+9j6HzATzbyszLfSKyHwfnAHgw/9HfS7meGwC8BMBPAHhvPCkiL8/dmUfyMk/G+rh5ATLvx/8RkS+IyE+Hy38DwJ+p6tBmB/eLiZkmOUac514/FJmiPwjgBDKxAqDwc3uhMrDZTpLN/no3sofM+1W1JSLvA2Buzv0AHuIu8W04iEywPTqPSSBTjGSxVc8BUBER+8HRAHCKiDwGwNeQWYoeDiDGFqbu8bZxAeD7XFnd7tteuRnZA0eRWSMe3msZueX25QBeLiKPBvBxEfmCqt6UZ/FLAH5TRF6vqr+2yXqR8cff0/cAaAI4PbdsRfZj4/OhjHvg7tMOZVraG1T1RTGhiJwP4FQRmXdC66GJPFLcgOwHxltUdcFHxeTxV78J4CkAblPVNRF5EOvj5hsAnptbtv9vAH8j7YH0TwPwYRH5rqq+u4e6jCy0ZO08Py8iF4nIScjiov4mty59HcCsiPyUiNSQzVDxU9/vR+beG8RnVs/L+h6AFcmC9Z/mzr8TwPNF5FF5vYt4K1VdA/AmZHEqZwKAiJwrIk8fQD3J6PMsAKsALkIWj/FYAI9CJmSuzO+XNwN4nYickwf7/mguZr6HLDbr+11+X0YWM/VQETkZwG+5c93u257I3XvPBPAzwdXXtQwR+WkReUTuNj+at33VXX8MwDPyNvzpZutGJgdV3Y/M1fxaEdkjIjMi8nARsRjXdwL4VRF5iIicCiBaRT3/G8Cvi8gPS8YjcsEEZM8KP4beCuCZIvL0fLzNSjbR6iG5i/EWAH8gIvXc1f/MHtvzTWTxub+TOL0bWezZ9wBUReT3kcWOAQBE5OdF5Iz8++BwftiPm9uQjZs/E5FRnp3cFYqsnecGZDOuvovMbfKrAKCqRwD8MrLB8x1kv+C9qfRd+f8HRORL/axQ/mv8V5EN8geRxc/c6M5/CFmA/seR/XKxgGSLo/nN/PhnReQogL/Huu+dTBdXIYvf+7aqftf+APxPAP+PZLMCfx2ZResLAA4hC26dyd3rfwzgH3O3xhPy+JG/BvBVZMG5RVxTt/t2M+RxM7cljncr40Jk9/txZOPi/9OwVp2qHgbwbwFcKiJ/uJX6kYnhSmTC/V+Q3U9/g8yKCmQ/Vj+CzML7JQDvSWUAAKr6LmRj5e3IhPz7kMV8AVks1+/mY+jXVfUeAJcjm5TxPWSWrd/A+vP/ecgmbB0C8J+RcJl3qMenVTUGvCNvx4eQGQ/uRma99q7QZwC4TUSOIwuCv0JVYyzkV5BNBHiTuFn644Zs/OFGBoVkC7W9VVX/97Drsh1E5FEAbgXQKDF7E0IIIVMPLVmkJ0TkZ3Nz8qnILA9/S4FFCCGElDMwkSUizxCRO0RkX2LGDRk/XozM1HwnMt/5/zvc6owfHBOErMPxQKaBgbgL85lxX0cWh3AvstiL56rqv/S9MELGAI4JQtbheCDTwqAsWY8HsE9V71LVZWQLX14+oLIIGQc4JghZh+OBTAWDWifrXLTPJLgX2eyFAhG5Gtl2A0C2xQYhI4OqbnatpW5sakxUUPnhk9ZnPBMyVJZwAsva7OeY6DoeAI4JMrr0OiYGJbJSBbf5JVX1GgDXAICIcIojmXQ2NSb2yF79EXnKTtSLkK58rlhbtW90HQ8AxwQZXXodE4NyF96L9pVrH4KNm0cSsilEBCL9NjDtGBwThKzD8UCmgkGJrC8AuFBEHiYidaxvvErGmGELHFXFVidqjIBA45ggZB2OBzIVDMRdqKorIvISZKu+VgC8ObWaMukfIrJlAdIr47xw7bDrzjFByDocD2RaGNgG0ar6QQAfHFT+pJ1hiwjSHY4JQtbheCDTAFd8J4QQQggZABRZZOoZgXgtQgghE8jA3IWThj2E6ZabPPiZEkIIGQQUWT3CBzEhhBBCNsPIugtH1X1D1xIhhBBCemFkLVmjajka1XoRQgghZLQYWUsWIYQQQsg4Q5FVwjBcgv0uk25NQgghZHhQZJUwDLdgv8uka5MQQggZHhRZhBBCCCEDgCKLEEIIIWQAUGQNCcZLEUIIIZMNRVaf2KxoYrwUIYQQMtlQZPWJTqKJVitCCCFk+qDI2gFotRocFLCEEEJGFYosMvZwqyNCCCGjyMhuqzNpmAigVau/sD8JIYSMKrRk7RCqOnWCoJt1iRYoQgghkwxFFhkY0yYqCSGEEA9FFhkaZdY9WrcIIYRMAhRZZOToZgGjm5EQQsg4QJFFxg66IQkhhIwDFFkjAK0ym4dCixBCyKizrSUcRORbAI4BWAWwoqqXiMheAH8N4AIA3wLwHFV9cHvVnGwoGCYHjglC2uGYINNMPyxZP6Gqj1XVS/L3rwRwk6peCOCm/D0h0wTHBCHtcEyQqWQQ7sLLAVyfv74ewLMGUAaZcsbMxcoxQUg7HBNkKtiuyFIAHxWRL4rI1fmxs1R1PwDk/89MXSgiV4vILSJyyzbrQKaQEXax9mVMtNDcoeoSMnA4JsjUst1tdf61qt4nImcC+JiI/J9eL1TVawBcAwAisiNPzNTWNiLStwd2P/MiY0tfxsQe2csbiUwKHBNkatmWJUtV78v/HwDwXgCPB3C/iJwNAPn/A9utZL9ILX65HVEUXVYUWO3026U3Di7CcRsThAwajgkyzWxZZInIvIjsttcAngbgVgA3ArgqT3YVgPdvt5KjCkVVZ6x/+iWOBt3f260nxwQh7XBMkGlnO+7CswC8N38wVQG8XVU/LCJfAPBOEXkBgG8DePb2q0nGmXERo32oJ8cEIe1wTJCpZssiS1XvAvCYxPEHADxlO5UiZBzhmCCkHY4JMu1wxXdCCCGEkAFAkTVGjEPgNyGEEEIyKLLGiHGJbRpHRIQilhBCSF+hyBpzBiUMpk1wpJb3IIQQQrbDxIqsYVkmfJk7Uf6ghAEFByGEELI9trvi+8gyLJHgy6VQIYQQQqaXibVkkfGkXxZIxlgRQggZNhNrydos3HdwI8Pok36VV5ZPSngNai9LQggh0w1FFillEsVGtzZNYpsJIYQMB7oLc3b64boZd9Y0ub2G7eabpr4mhBAyWGjJGhKbEXXTZF0ZZlspsAghhPQTWrLIjkMxQwghZBqgyOoDFA2bY1Qtc/wcCSGE9BOKrD4wqqKBbC7Gi58jIYSQfsKYLDKRbMYqRQsWIYSQQTCylqyZmdGo2rBnu5F1evkcNvt5WfpKpbKdqhFCCCEbGFlL1tra2rCrAIAupFGi22exVTGsqlhdXd3StYQQQkgZo2EumgBo7Ro+KRHGz4UQQsiwmBiRNYyHqS+TFq/B08tnHD8He192rarysyOEEDIQJkZkDeNBuZkyuwkEWly2j8VXlfVlPG7v2feEEEIGwcjGZE0a3DNv+8SNnLulszSdrFUzMzNt4ozxWYQQQvoFRVYf8A9zMliiizYltsosVnYNgLbZhF5g8TMkhBDSLyiycuwhuxX4YN45eglu7ySYvDtRRIpZrKpaCK9RmdlKCCFkvOkakyUibxaRAyJyqzu2V0Q+JiLfyP+fmh8XEXmjiOwTka+KyMXbqZyItLlzNnPdZuNsKJTGD/85+8+vk1vRp19bWyvysPusx3KHNiYIGUU4JghJ00vg+3UAnhGOvRLATap6IYCb8vcAcCmAC/O/qwH8+XYqZw/CzbpxLP0gApo3k2elUkG1Wk0+wLnIaX8pcxuWzTacmZnBzMxM8fkAKO61HrgOQxoThIwo14FjgpANdBVZqvopAIfC4csBXJ+/vh7As9zxt2jGZwGcIiJn96uym2UQQqtXsVepVFCr1TA/P489e/agXq+jUqn0FIxNupPqRxNN0SUIrAveer2OWq2GarWKSqWC1dXVTX8O4zwmCBkEHBOEpNnqEg5nqep+AMj/n5kfPxfAPS7dvfmxDYjI1SJyi4jcssU69MSwhMza2hparRZarRZWV1dRrVYLq8mobBk0zvjPtVKpFH2qqhv617bN8VZFL876JMT7OiZaaPajToQME44JMvX0O/A99bRKqhxVvQbANQAgIhNp0llbW8PS0hJEpLCg2AO91Wptxj01dmxnIkEveXSL1zMxa2m829lbOH1M1srKyrbqW9aMxLGuY2KP7J3MG4MQjgkyRWzVpHK/mXfz/wfy4/cCOM+lewiA+7ZevYxxjl+yuLKVlRWsrKxgZmYGs7OzbQJgu4xr3xhln283kTYzM4NKpVJYsqKb0M5Z2lqtVpzzZfTJdbujY4KQMYBjgkw9WxVZNwK4Kn99FYD3u+NX5rNHngDgiJmLt8M4xy9ZvVdWVtBsNrG4uIhjx44Vbq0YQ7SdMvrNTtUp5bor6xM7Pjs7i2q1WlzvRauJrpWVFSwvLxdu22azWYhei8WyxUft/Tasizs6JggZAzgmyNTT1V0oIn8F4MkATheRewH8ZwB/CuCdIvICAN8G8Ow8+QcBXAZgH4AFAM8fQJ23TT9cWd3otKSAFxTmqhrFtZk6uerKznc7Z667Tvg8YgC7F62+H32s1erqavE6ijUv6OJ/X06X+k3cmCBkO3BMEJJGRsFCNKkxWSnKRJY93FdXVwcquDYrMDuJpq2UbZgAivlGkZMKTrc+swD3sjp6keX7NFpG43W5NWuoPtg9sld/RJ4yzCoQUvA5vQlH9RDHBCE5vY4Jrvi+A0QREMWFubt2YnmHYYnqXmOuolUpiit/3N7boqIA2lZt79SPKWE27rFthBBCRguKrAFQZi1KCQYfeG1Ca2ZmJunWGlRdYxm+/ilLUifhUnYurlmWslh58WSWJ0tnQev+mLkF6/U6ABTLZURroeUf65CKAyOEEEL6BUXWANhCjA8AtAkLC+A2wREXzexXXFk38ZNK14ubLx6PlqeYT3SdxuusfLvWpzOrlYlTvx9hqi7RoujX2KLQIoQQ0i8osnpgO4KmbMHLsge+L2d2dhaVSgWtVguLi4tt6cssZVuJt9qKm7IsmDzSSZylxKgJSxOVXgj59F5Yra6ubsgvVZ5PE12OqfoSQggh24EiqwcG4a6zPG1mYUp8nDhxAjMzM5ibm8Pu3bvRarWwtLSUdH31Ws9otTJR45c2KLsmzvqL9UiJJh+kbnmbYPKWOjteq9U2CE+7LgawxzgsmzQQj3vrls+3zCU6CpNBCCGEjD8UWTtAJ8tI2Sw7f355eRlzc3PFulCWZ5mVrNeyYx18PJgd75and+X51z6diRx7b+2IQs2LPZ+/F6LetReJrsRUHt3aQ4FFCCGkX1BkDZjUDLkoPvy5KJxsD8SVlZU2IRSv78XNFcu2/H158XW8tteAfltk1Qsfv6egF1deAK2urqJSqWB5eTkZZ2VizcdoVSoVqGqbCO02ccALQV/H+JkQQgghW4Uia4CYOw5Ir+HUS4B8r1aWXmOLOlm/zIWXEhllwivWK6bza1l5a5Yd825Ey8sH+UcRGvvD3ntrl29jXB8rtTl3J+sYIYQQslUosgaEnyFo1hH/kI9CpixA2/LywmFmZga7du1CvV7H0tISjh07tiE/b6mx2CfbANkLHl9PbxmyOnqhkqqjv97SVyoVVKvVYs9GvyRFXKrBuyh7sSLVarVClFmftlqttj43d2Gr1UrGkfn+SfUxIYQQ0g8osvpMfHh7YeMtJqkHercYKxMwc3NzmJ+fx/z8PBYWFrC6uooTJ050rEsMaDdB4t16a2trRR3jelP+mlh3syLZhs2Wn219kwqmB1CUmapbWf+0Wq1CrMYlL7yLNbY/WrC82PXtJoQQQvrFRImsYVsjUtYR7y6zP7O8GJ2sK94dZhaaZrOJAwcOtKW1WXkWm+TdfiZ8lpaW2o4B7cHi9Xq9qJ+VZ5a4VL/6LYBMWHVyU3qrUqfPqWyZBy/YohswBtv7PvTpo0Dzbsk465AQQgjZDhMlskbp4eiDs73L0CwxUYxEV5Z3w1Wr1bbrYjmWj4kkYN26ZO9N2HWKPzIXX6VS2WB1M4tP2WzI6PaLQe5ecPYSWF4WY9ZpFmbqGiO6JE14WlkWjxZjxAghhJCtQh/JDhBXawfSIsKOx79odTHB4q1be/bsQaVSKQSdzdKrVqsbYp3KhMrCwkKxNY3V2dx5JrLi9akZj7GuXtDEtpdZnvzrKNLsWDerU5kL0ERVFI5xtXlCCCFkO1Bk9ZEoLOr1erGswPLycps1KhUIbqLJ3H3RBedjosyVV61WMTc3h6c85Smo1+sbguuXl5fRbDYLS439NRqNtjKtnJWVlUJUeXHm461im31gf4yPitanKJjKAv4tz1S5qXKsLI+fbegFlQlHL35FslXmra8IIYSQ7TJR7sJhER/uXiCZsIrpe41JAjbuaWhpvJi6+eab0Ww2CwHhrTidruskVPwK7XZtarkGL1SihalsFl+sU8SEqt8yJ1r74rVxY23fz6nZml60xmUkCCGEkO1CkdUj/sFcRq1WQ7VaRaPRKGb99bLKONAuEEwk+eD1uImxt2itrKzg4MGDbfmZFahWq2Hv3r04duxYW/qlpaXCqmVWHC+6fL3tuMVs+W1uPGUzAmM8lZ8M4M/F4PVoHYsB694V6cVULK+sbJ8PIYQQ0m9Gxl24Uw+6fpVTZqFZW1srXE69lOVnt/m8vLAwMWTLLXihYOdiPYAsEP6kk04qju3atQuPetSjMD8/XwR5m2hKBab7mC8v8nqNXfJB+LHNvl2+HDufmhyQ2rcwxqzF2K3ouiw7lqo3IYQQsh1GxpK1Uy6arZZTFjvk8ZarMpdVWaC3iQ57bdalKHDMumXiyBb79EsuAOvxWN4atLy8jDvuuKOYaWhrbi0uLrYt2xBF1szMDGZnZ7G8vIyVlRUsLy8XZZS1xW96nbIu+fXDorjy/RYtXNFNaIKt08SC2O/23hY27bYwLCGEELIVRsaStRV22uIQY5di8LUJkhjYXlZfs0SZmzFlHfL5dArkNrFRrVZRr9fb6mLuvlNPPRWnnXZaUWalUkGr1SrOe6uVj1VqNBo49dRT28qPMVde/HiBFdse+9DqbELSl12WfwyO90IpZcVKfW6VSgXz8/PYtWsXLVeEEEIGwshYsrZCvy0OvQSke1dZnDVXtv1MCm8l8mXHWYC2arph8VBmsfLb1lheKysrWFtbK8SLCZHDhw+jWq1ifn4eBw8eLCxlRlxM1P6fOHECx48fbxNPvg9SQegx3ioe8/1mVi2fRwxOt2t8nctctpFYnvXR4cOH29KV7dtICCGEbIWxtmRth5T1ops48g/8KLC2Ur632sRAcx+InrIe2XtvuTERZEtA+LqpKhYXFzEzM4Ozzz67sGDFvE3YNBqN4nVcI6tsxl6Z+IkxVykLU+yTmI+3yEWiW9Ln59vULY4sZYEjhBBCtspYW7K2Q68P05T7zoRAfCinLDplxO1tUvXz1i7b7NgLDS+yzGJlsVUmKCyWyoTboUOHcODAgaR4sxmJ3prmLU9l7tBUvJpt8xMXQe20R2BZXqn+NDejxa6lLFA+NixOMCiLjUudI4QQQrbC1IqsXonuM1sywAenp2YI9pKvCQATWl7M2Ou4fEK0xpx00kl46lOfittuuw133XVXWxwWADSbzbY1oLy70VuoouhqNpttMxAt2N3KbDQaOH78eNtxq7t3gTYajSJA3xZLtT+riwWgl62M72cQeoG5vLzcJrasXVan6Nq0zy0KZUuzGXcvIYQQ0o2u7kIRebOIHBCRW92xV4nId0Tky/nfZe7cb4nIPhG5Q0SePqiKDwMviIDyRTF7wT/4fSxUtVptswL57W28aDCRsGvXLjSbTRw+fLg0jskLHxM4Fmxv/32+JoBMHK2srLTlubCwgMOHDxfWNZt9aCLK4qZqtVoRHxZnHPp+iHFnsc9Tsxj9/oqGt+R5a57V0Va6T22mXavVcNppp2F2drarJYtjgpB2OCYISdOLJes6AP8TwFvC8der6mv8ARG5CMAVAB4N4BwAfy8ij1TVsd1x1y8P4C00JkCMsqDrTniXoL33YsvcfN7C4t11lUoFhw8fxj/8wz8AAObn5zEzM4OjR4+2BZ3H1czN/WjB8dGiYwH3dsxEmBdwsS4LCwtt4qTVahXiLKb1/emv8a7Q6BqN8Wupza99Wt9WL8pMYJm4azabRb5Hjx5t+0w7cB2meEwQkuA6cEwQsoGulixV/RSAQz3mdzmAd6hqU1W/CWAfgMdvo347Rioo2ltB7Jzf28+n20o5ljewLrBarRaOHz+OxcXFwsITg81NYO3evbsQSWaJ2b17d1sZtnq8udVqtVpx3NyAfusfv6K7lRXdlLEvUnFbhs8jbsYcsdmQXsxanePCpXGph9iHfh2uWq1WiKulpaVCYMbJBt1ixlw5UzEKyYiDAAAgAElEQVQmCOkVjglC0mxnduFLROSruZn41PzYuQDucWnuzY9tQESuFpFbROSWbdShb6RmpnnxFC0uMaC7mxUruq5mZ2fRaDRQrVbbYpS8KElda+Wtra3hxIkTWF5exurqKlqtFu6++27cd999baLCXGJzc3Nt1/r6xlmGXgiZm61arRYiqNFoYHZ2NtnmaHnzAf52rVnGoiXLxKOt9VWv19v6wAu1Tn3uBaaqFharVquFVquFZrNZ9J0ve21tLbkJ9ibo25hoobnVOhAySnBMkKlmqyLrzwE8HMBjAewH8Nr8eOrplHwSquo1qnqJql6yxTrsCFF0pB7AUQSVnfeLfZrgiC5Dn94o2zbGLElmeWo0GqjX65ifn0e9Xi/cZLaforeMWTn230SQXxjU18ULJhOEZkXzfZT6A9Y3zfb1tbx8Wb7PvYUsBumXCbX42Xnh6v/8dkJeWHWKD+tCX8dEDY2t1IGQUYJjgkw9W5pdqKr322sReROAD+Rv7wVwnkv6EAD3bbl2QyTlyiuzoHR6KNvD2y8MCqCwqvh0Pg7JCyHvJvMz8LyQ0Xy2neSB6T6oW1Vx4sSJUutPXBDV2tRoNNBoNHDOOefge9/7Ho4ePQpgXYjE2YBRGHksPgtYj72KS0R4um11Y31n1idvoYvWMe8OjdbJaJXcqhVrGsYEIZuBY4KQLVqyRORs9/ZnAdiMkhsBXCEiDRF5GIALAXx+e1UcDtES4wVXpJsIA1DM0ktZfXyZnpQ7Lab15ZkosuO1Wg1zc3NYXV3F8vJy0iqXWsHeCzvv0jTrUWpleHNR+nrGbYDiVj/WRptE4Gcz+uB2HxcW6+0D232/RPdq6vMF1mPTrD1btGJNxZggZDNwTBDSgyVLRP4KwJMBnC4i9wL4zwCeLCKPRWbi/RaAFwOAqt4mIu8E8C8AVgD8io7ZjJHoHosCJAod/3AucyUaXlx515utgRVn10Uh48u3c+YKbLVaxV6EFmsk+Qw6s+T4dvjZfjbLsNFoFNYwswAdOXIEIoJ6vY7TTjsNe/fuxZ133onFxUUsLCy0bUgdrVr+v9/M2spdWlpq6ydv2bI6xG2EorvTf06+H32fecHlA9zNTWhuTP+5dLlHpmpMENINjglC0shWf7n3tRIiQ6tEynpkM9nMJeUtL/a+U37ROmV/NlPOBEd0r8VNkq2sSqVSWFwstiolaqIQ84IGQFu7vCXJCxt7b7PzzMXpZ/VFC1UUJ17MmUUsBpn7vo8z+qyvKpUKms1m23UmkKLYFclWtzdLGIDCsuZnTPpV7QEUwsz3U750xlCXfd8je/VH5CnDrAIhBZ/Tm3BUD3FMEJLT65iY6hXfvSjxVg8TWubCikKszK3Uq+vPrvdiqFarta1U7oWAd/H5BT6joIt18i42L4p8Oi+OTIj4frFjPoDcl+Xjufxxb8Hyge6eaF0zQTk7O4u5ubkitszyj1bFWA9ziVpfz8/PF8tUpKyCnk6fHSGEELIVplpkpYKh19bW2hbi9OkiZTE/XiCZS8pm+6UEkgkBs7zYIqRejFlaLzzK2hFjjKJFq0yo2FY7Ma39t7ZEN2oqnimK1pQbL9UGW5piYWEhed5emxC2+loAvC01sba2hqNHj26wtFm97VoT0WX7URJCCCFbZapFlsfHQHUKmPaUnY9WE/szodVsNjcIHwBtq41HN6K5uQwfiO/rG/P09fQiIgag++sBtG21Y2m8eIvxXSlR6q1ZZaSsiWXvvZhL9X29Xi8C9ZeXl9tivuIMytSCqxRXhBBC+glFFtatLX6JBAvCjhad1APeCynD4p8svZ89Z9dYrJUJGR/47kWFBaab9WVmZgaLi4tFWWWio1qttgkcHyCecklau/2aVtaWuFp7dB1aOyyNj4fy5acsX9YXlpfvVzsWhZ1ZHL0QrdVqmJ+fx9GjR7G4uNhWjv98ohWMFixCCCGDYDsrvg+FlKDZLhacHWOVUqKnk/XK17FWq6Fer7dtuGwxV6l1maL1x78WkWKVdVsF3cROqm5+pfYyAZjaS9BbeUzM2XVefHm8q83EUqyXpavX66jVam318dd4a5O99uLHizxfN3t94sQJ7N+/H0tLS22zN73F7gd/8AfxvOc9r6hLrVZrW4V+myu+E0IIIQVjZ8nqp7UhPuy9a8xbgOLsuZhHajZgs9ncMDMOWBcNfiFSy8fwD3oTezEWy+/dZ7FIttmx1dfemzvP0rdarULE+LWvzBq0e/duHD16tG1GoBc+Po7J3keLWIzJAtYXMTVLmqWPfZ1y19pr225ncXGxaJNZCO06e+3bLZLNPrz77ruxb9++Da7HMmsaIYQQslXGTmT1i/gw9zFPZS7B1MM3ZSkyt2O3BUy9EIjn4nUmyrxg8GnMDen33zMBVq/Xiz0OgXYBafWwFelNaJhQ8dauGDye2oLGi0kfQ+YtUp0C4H3+3pJox008xs/IWyK9tcuXa6vez8zMFFZG31e0YBFCCOknUymy7CHuRYCPK7I0MTDcX+//e2uId2XF+KN4XRQSXlx5IWL18nmaleziiy/GT/7kT6LRaODaa69Fs9ksFhCNogRYF4DesuUFydLS0gZ3m6+z4S1EZfFMPmA+zq40ARhnHvr+TPWxF4gmCH17/Ocb48Z8n8d9HH0aMv585L4vAwCefs5jh1wTQkYDjonhMHUiywshL4LKHspRHJkoSeVredfr9eIhHoWVT+/z9HlE0ZWKQbNzq6urOOuss4oV2BcXFze49UzAWAySqhaB81EMpsrtRXzE2C3DiznvxouiKSVKUwHyvo4xjs73jS83WsN8uZZPJ5cwIYQQshWmTmQBKB74PmDbjsd08Vy1Wk0+7IH1hTfjPoHAxtXNvQXIZiHG477cWDcTEV/5ylfwla98pVhJfmZmBqeccgqazWYhuKrVKpaWljA3N4c9e/bgwQcfbKuL1d2OWV3jAqS+Hak+8nFk0QKVysMLLDtmbsu4ebYJI28l9EI2iiTrV/ur1+totVobZkFGix2ZDPhrnZB2OCaGw9SJrDKrSJk1x/BWnWj1svQ+wNuu8VYbv3SALa9gSztY+h73zmurN5DFbIkIWq0WHnzwwTb3oO1HuLi4WAgvX1a1WsXu3buxurpanFdVzM/PAwCazWaxFU8USylXZ6rvrBzvHvRb+lhdTahGV2TMv1KpYO/evVhbW8OhQ4faLFLe1WsxV/4zEZHC2uhXpI+imxBCCNkOUyeyvFuvzALSaz5RcJS5H71AiMHnZXFDKTeer2Mna5AXDQA2CLc4s3F1dbWI4/IiyKx9ANqsbT7+DMhEpS3NYGIv1tfKsTatra2hVqsVZfm2e1egWaKazeaGfQdrtRoWFxe7ij0Ttj6OzP5M7HYSiYQQQshWmCqR5QVWpNvDNWU9stgjb7FKbdzsr/Nb05QJqFjfsrgj3xZfL7Pg2IKgsW6pODETNj6Oy8dtWT4zMzNtbjprU2o7Hi9+TjrpJCwuLmJ1dbVwufoYrZmZGXzf930fzjzzTNx5551YWFjAyspKYWHzFicTWwcOHIDI+hY51o64bZE/ZjFpJ06cKOppS2CYm5cQQgjpB2Mlsspced2uiaLCu9L8Ku+9lA20B3fbA9+LD6Msz25izqxsVq+4PIG/vizAe3V1tW3drFi+WXGs3t5t6cuK9fWzHr2FzK9JZee9287WtbK6pRaAvfjii3H22Wfjm9/8ZiF+VldXC8ub317IRFFqCQxfh7W1tcK6ppqtERZdvma189cSQggZQR7/f2FtroqZT/7zsGvSE2MlsnoRQmUxQ/56b9mx6f/d8jX8yuQA2mKr/HvvxrPrAGxwjfl6+7RlD3t/rRdjdl2lUtkwi89fa31y0UUX4aKLLsJdd92Fr3/96zhy5MiGlehN6OzduxeHDh0qzvtFO71QUV1faNTXKQowb1EzS9jy8jLe+973Fm3ya1hZ4HqtVsPJJ5+M5eXlInjfC2Qf4+WtVwAwOztbbEcU1+mytL5/CSGEjCCf/9pYbVUzViKrG/EB6R+4QLs4SKVP4RerNMylVqvV2mYWxviiWIeUlSsKrViv2IaUlcm7H/2syZQL1ATFvn37cN9992FtbQ1HjhzZEE9mWBujlcoCx81KZH8xRiwlfFLttPzN1WkuQNtMu1qtol6v46yzzsJ3v/vdtjXNvJvU//fn5ufnISJYWFgo6uetj3ZNypVMCCGEbIWJElkpytxsdq5MaKWCqQ0fi2UCwixI/nq7Nq5cHusW33s3oR2PLs8oCvwSDrt27YKqFkHhsR4Wk2QroJextraGEydOYGFhoS2fmZmZYoFTvy1P2YKido1Z2FKi1bfT4rbsnLkyjx07hgceeKBIW61WUavVsLy8vKH8KDIPHjzYdi94IeeFaupzIYQQQrbCVIgs735LuRTjQ9VbYLwVzK9xFeOffOxUajuYWKey81EUlgk9L2C8JUtVsbS0lBSQsZyyeti5uC1QjLOymK5Go4FWq9W2dU8Ug96tZy7VVHlxGYwy16m12QRWtP75+qf61YuyVP8TQggh22XiRVZK4HSybsW1liydPZS9+8zyM6uLBZDHa1NiJ7rkfEC2D6o3zF1mW954ERjLsoDwarXatnRB3Jcw4mflNRoNiEibdc4v72Dl+LiqRqNRuON8X0crXCrI3LfPAt4tXyvDz36M+xL69vvPMFq07Lq4VVHZZ0MIIYRslYkTWfEBmXrYlsVkdXLx2YPdzvvXfoV3S5sSSqn6mTXGzsWyvUXIBJYJFy/24nvV9Zl0Pm9gfc2raKkz8RZFiAkeO1apVDA7O1tYzLzY8vXxMV6qil27dmFpaaltKQZLa5Ywv6YVsC7ITGzFzzJaw3zZJtKsvbt27SpmXdqMxWjNosAihBDSL0ZeZKUsQd3Sp9xi0TW2mfwAFJahaIXxwsKX4Y+lAsrtHIANM/J8O6IgjPmkLDHdiALLu9W82zHOIvQzJL2bztetrA7mbq3X68WyDD5GzPrI+jN+Xp3csN3iyqwtJq58WZ36khBCCNkOIy+yen3omfhIbfwc8+r2MPXXepFlVhy/bENK4ER3YVxKIS7nYFaVGPPk3V9RiPg6+liwmE+qXtG6lgr4NutSKp2IFNY330Zzq3p3n+9PL3bKZgJ6y5pvv5/h6MWpuRC9+E0tRmqu3BjjlVq+g9YsQggh/WCi5qv7h7S9j+6klFXLP5BNMJiY8otmrq6u4pGPfGThQrP0sQ6dRIw/72OH4sPf17Ms/irW2//5IH3D4p4s/9gvvj98np3W7Yrttv+xzbZ2mAmsWGaqXN9HNnPSrrHV7DvVO7726VIWQd8WQgghZLt0FVkicp6IfFxEbheR20TkpfnxvSLyMRH5Rv7/1Py4iMgbRWSfiHxVRC7eSsVS4iGVxgsKIC20Ug/0lJWnWq2i0WgU276Y2PKWp9tuu61Y0NKLhZT4SQk5X2f7MzGXcgl6N2K0YsX2elelD1j3QtGsPHGmZK1Wa9uGR0QwOzuLRqOR7FPfLivPllrwsWDeFbqwsIDl5eW2bXlSFkNrg7d2eauW7ZMYLVQWS2b1bbVaxd9JJ52Es88+u2hjo9HA/Px8sf1QvV5P3icphjUmCBlVOCYISdOLJWsFwMtV9VEAngDgV0TkIgCvBHCTql4I4Kb8PQBcCuDC/O9qAH++lYp1srSUpU29jgIkhT2wRWTDvnzxL+brrU0+v9TCpPF4dGmmhFlcRsGfK7O+lIlSn9bHKlWr1UJg+vLq9TpOOeWUZF5lfR7L8IuVWjq/WKqJW3P9RSFqws3E2/LyMprNJlZWVtpmTvp2e2FqZS4vL+Po0aPF59tqtbC0tARgXZR26rPAUMYEISMMxwQhCbqKLFXdr6pfyl8fA3A7gHMBXA7g+jzZ9QCelb++HMBbNOOzAE4RkbO3U8kyERKFhVme/LmUMDIs7seuj1vBGFEwRWuSiYQUltbEgl1jIiHm5/+8a7Fer6Ner29wH/q2G1Z/y8esOyZ6bBah1WNlZQXLy8tti5cCwLFjx3Dw4MHkOlT+czFLWbSueRHlrU/mtjzppJOK49aPjUYDtVptg1Uqilm/jpZ97mYNjPUFgGaziWPHjhUr8/utj+bm5goLVy9CaxTGBCGjBMcEIWk2FfguIhcAeByAzwE4S1X3A9kAE5Ez82TnArjHXXZvfmx/yOtqZL9guhKtRvn1sW6Fpaiba7Db9UB74HVKnAEogq7j7MKyNZxi+VGsRby1x7v6VLVYr8vqHPfwsxXoYwC6nY/9k3JJAhuXOCi73vext1p5YeRnGNZqNTQaDayurhb7EJoA82uNxb4xl2FcvsJbtbzYi/WzPO0zrFQqbRatzW6rM6gxMYuTNlUPQkYFjglC1ulZZInILgDvBvAyVT3a4Rd/6sQGf5KqXgPgmjzvjoEwqZXHE/klj/kHbplFzDALCtC+bU18oNt/L4AMe4D7vfj8g90sS2UCLtY1zhy0MryIM3Fglhwv/Hw5li6KIC8ufd3itj7RUuXra8LJFiP12+14l6E/dtZZZ2FxcbFw45m7tl6vJ92t5t60OCpLY2UtLi62tdl/Xj4PYN0SZu5D35epzyTFIMfEHtnL6HsydnBMENJOTyJLRGrIBs7bVPU9+eH7ReTs/NfJ2QAO5MfvBXCeu/whAO7bTiW7PfS89SQKnpRL0fKMXwBeDMRgeh+Q7Y/7PExE+eUNrFwffB7rGq0svt4mLKJ1zC9ZEAVUar0toN21ZsHiKaEXLXMmGlN9aulMOMX2+DytXy3I/Fvf+hZWVlaKuDC7xgSXX+Hd8vJuQW+RAlCIM+srX58oju24F2O9iqs8/VDHBCGjBscEIRvpZXahALgWwO2q+jp36kYAV+WvrwLwfnf8Ssl4AoAjZi7uJyYeomuoWzo75kWLP2cPXovZ8XFUdq2l8+46/z6mBTJR1Gq1ilisVH3jtV7wxc2Mo1AwoePr4cWVz9vSmcXL52HlefHmXY6+fnGLHVvN3edtfWh5WfyXWZC8uPJt8rMLrQ0msIzl5eViUVTfZ7ZMhLlUY3xdqrxNCqyRHBOEDAuOCULS9GLJ+tcAfgHA10Tky/mx3wbwpwDeKSIvAPBtAM/Oz30QwGUA9gFYAPD87VYyCqHoDur0gIxWDB+3411aUWhZesvfB1VbGi8CbBV0X0ezyFhZPr0tbeAXNC0TjBacDqy7Tr2IStU99oEXZ2ULcPr2emtYzNtmApZtRG39Ydd49+Pa2hqazWbRJ2al86vAq2Zb4AAoFhq1oHjrV+8atCUjfKxctxgtszpaulSfdGDoY4KQEYNjgpAEXUWWqn4aaf85ADwlkV4B/Mo26wUAG0REyg0FIOn2KovJ8XmWufc8PrbK5+2FWapce23rYNVqNagqlpaWCqHgxU+q7V4kRNeWt3KZxchERqxXjOeanZ0trvExaGVi1dexVqthz549ALIZe52u8XWJ1kRfL7+cRHSnWv+lXIcxT7OYecudLUthgrDMkuX7pxvDHBOEjCIcE4SkGfltdYCNwdlAe5yUP5bCL2ng00RrTRQuPk+71iwwceZeLM/XqWyWH4A2N2CMe0q5Ob0w8+/9bMhombP6VKtVzM3N4eSTT8b9998PEcHc3FybS8+sbynBZlajBx54YIPoi5+DWe5iPbwL01ucLB8TzM1ms6izta3VamFmZgazs7PFGlrRhWri0a6Na2nFLY2ipZMQQgjpFyMvsqIVxx8vSw9sFFwmyrxFJKaz1zFw3P5HUVAm6lIiqcxqFeOh/P+YxtchruDerT4zMzNoNBpoNBrFelEACiteyv3qrWmxban2Gl7URmx7nDiL09fTC1KLY7M62pILlibl9vWizYSZCS5vQUz1NSGEENIvRl5kRUtDtIDEB6bhLRd2zi826h/G5qYqsxCZmLFYpZR7Kcb5+PoCG11ifs2rWM+Yr9Uxxod54ZWyLNl/q8/x48dx7NixNnejlWFuNYt18q5Ks2xZvWdmZgrxkhJJ1k/eIpZqswku21Da3Kh+JqK3VPl4MauHWRXtvlBdX0NsdXUV9Xq9bTZlrK+3iKbWBCOEEEK2ysiKrLI4Jf/XyWVlRAsRsFFk+byjgLIy/OrjZeX5xSztvF/kMz7kO7XV193q7K1wsf0+rbc+eWFi6VLl24ryFrtUtjaZt275NpVZu6xetVptw5ZFhl96wgvHWL61t2w5Ce8aTPVHyuIXLXdejBNCCCHbYSRFVkrwAMDs7Gxh7Ui5EGMe9j+15UucGRitPkYqvT8XiYuQllmZ4usoOrwYSW0XVCY0/fGUa9K3yZd39OhRzMzM4LTTTsPa2hoefPDBtvTmVozi1Po2rtHl62axXr5tlsbEV5kYtPeNRqOYZejLWVtbK5Z2sDrWajWcccYZOHz4MBYWFtoEb6rfrE7Wz7RkEUII6QcjKbIMLza8u6osLipab8oER4xlstfeJefz8Xmn4pHi6yjIUtaSlOUntillxbH8ffs8KfdpbHt0j3lLz+LiYnFttPTFIHLfFynRG4VhXH8rtS1RFFdWtrkUvbXQzzb0lsZ6vY69e/fi0KFDWF1dLfYl9H1m7bBYLd8vtGQRQgjpByMnsryryN4DaFs4Mz784/XA+j55KaK48NvRlFnRomCJ56OoSVmSotiJ7qkoSuKioT5vS5eqZ5lYSFnlfHtWVlZw/PjxtjW9TNR4YVYmXL2484LVuzwrlUqxsr4XRzFt3CLo6NGjbXVOWfTs9ZEjR/DlL3+56IMTJ04AyCxc8/PzxZpc1le2BtfCwkKp1ZIQQgjZLCMjslJWl2hpihaaMoHhXXSVSgWNRgOqWqwEnsofWF/E0l5bGd0El7327r2Y1ufl8/RrQ9Xr9TY3WFyywv9PubTsXK1Ww+zsLA4fPly45FS1WLQz5hOPqSpmZ2fb+svq7F1rvr2pjbKj1W55ebkQYLG/Y7/5GaCpz9svfREtaj5w3rfTVpqvVqs499xzcfToURw/fhyrq6tF3TqtF0YIIYRshpERWUZZnJK9j24sf12Mt7H38/PzaLVaaDabbYHaMf+4EXRKYKXqGY9bnFAsI5WfL8+sRqkZdWUz37z7zAtDa6ulifXw1/s8vUswlm918pYts4DFOnuxGq1UPm6tTEB761dKWPo6xmt9f8b+szovLi4WK8yvra0VK/BTYBFCCOkXIyOy4kPSP1z9wy9aslLWjugyO3jwYFtZqb35RKTYUBhY34A5VU8rr5NFLRWXFd97cbC2tlasBp+y5sVlG8w6t7S0BCBbeNPaEVdy925Rv41NPO/bfvz48Q1t932dyj+6S33fzM/PF267uDhoXBsrJXRif6c+Bx90b/FWfiNtK3tpaQnf/e532/JfXl7uWD4hhBCyWUZGZKUeolFcdbrWizKPd0OVnY9xWGUxVXYu1tmERqoOZYLBuzNTece08ToThHE5CrMs+fp54RkD11PtjGIpWpJ8rFeMpyqLgzOBFYWxxV35/MoEdayb1cWsUDGPso2tY3tTrlNCCCFku4yMyIpCyLu4OomgeF18yKeu8/mXueN83nHWnxcfsdzowor18PmnHvZRVPj9+LwoikIq5Zr0Fiafj5336cvW8LJz0eJUJob85AEvfv3nFd2P8XP2rr5O2PVlYiolsFMu4tgeQgghpB+MjMgqo5s1CViftWYuMREpAreXlpaSSwT4vLwrydIB7cHXljYV22SuvE5tiJarGCQe8zSBEGdURitQDJBPuRrjbMrUtkG9WPn8UgepPIC02LS8yixnsZ98+VGkxbqV1R0A6vV6saaaWbu8S9jnRZFFCCGk34yUyEoJIE8qmNym4HsLid8exosVyzM+sO1am7GWqlNKvKQeznHFd8/MzAxqtVpb/FcMyPZ5eWtPrFOZIEjV15+zhT/LXGZWPyCLzbIlFyzPlGsxugytzy0GLMabRfGUsmj5NL49qc8vupqt35aXlwt3apm48rF3fkNpQgghZLuMlMjyeJdRmfWjkxsrPpSN1DkvwPzSAHYs5hPdgP61d4n562yfvuhm86Tci4atdG4iKYqzTvFcMS9vWUvV3/+VxUv5vKNAMuLq7Z2sZfG8X4jWtzfloox1s3rYvWHWrLL+ifUhhBBC+sFIiCwRwcknn4yVlRUsLCxsiLGpVCqoVrOq+k2ezbLlrRGp+CkjxiOlhFTcDseu82IpFUfkH/5+dp/V00SBWXT8tXET6hjTZaud2zUpcRP7s8zFmLrel2lb0/i8Ij7uam5uDo1Go5jteOLEiULUxPXC7HMtW4vK18eur9VqqFQqaDabbW0yCyaADUtIWN624GgkCm3/uVFkEUII6RcjIbJUFUeOHEm6aeyBaw92vxhmo9EoHr7drCrRWlImuHx62w+vmxUkChX/EI9bAKWsS9GVFcszK5h3e1psV9yA2gRemWvP8vfCr5ulyecf27e4uFi4A23JBLvGrxZfq9WwsLBQ1N0EU3T12RITVk6r1WoTtiasbekNS2cxV2WLmPrPu8wqam1sNpsbzhNCCCGbJT3ffgh0c3n5bXX8hsnVarV4MM/MzGBubq5tWQTLI7qWUutYpeKUYvyVTxfP+bzKljLw13krVrd6mFjzW+14keFdamUWLi8wY7C8d6+lBKmvc0xn+fkV5f06ZWtra8WK6lZPs0T5z84f86u5x8/LC2877rcm8u5On3/sf5/eC0NCCCGkH4yEJcvjH/BRcNjD0D80o2ttZWVlQ4xWtJYY0Z0W8/H18Nf4eKFYt5h33Mw4ij2LsYrti3X1QsNboLzY8W0pi2Oyc9GSF9vk8y4TXXbcLG1eRKW2KrJAeJEsEN233eoVF4GN/ZqyVPl01oZodTOr2fz8POr1Oo4dO9bW9k5rqRFCCCFbYeRElifl/qvX68UsMHOzlVk87BpL49/7YylS4iwVf5XKs8wiF8WU/x/LTrXBn4sWo9juVNyTt1hZHmWuUG/5SXdNiUIAACAASURBVAlK725MuV6jgLFrABTb2fj+LHMJlln5UhZGPzu0UqkUsVrxWr8pdeozIYQQQvrBSImsKDz8g1xEiiBoe2hbvJT/K3P5pcRWdNWllm9IWU18TJFPG9P54/a6LF7K6MUV6esaLT9le/1Fi1DMp6we3ipogsrPdLQ6ptrjrXip4H6/7Ib/LCy9b0uc8elf+7Ktvua6jNa5tbW1wtppZXVadoMQQgjZKiMjsqKFBmjfBNg/lG0GXHQVRkuTYdaUWEZ8CPtFNuMDN7qj4sPbH4/XxHyiZSqKIhMY1gdx5fYyooWsrH/90hh2nVmBbEaeb28UQ2WWNe8m9LFO9mfxVseOHWtb0d33f2xPbK8vu1arYWZmprgfUoIsYvX0y0vQRUgIIWQQjIzIAjYKkEajUWx8bJYOH2Sd2gomJbjMHeVFg6UB1uOsgPVZe2XuKlVtW5yz7AFtwfm2TlNcPT5lVTKsXBMqfrmC1FIFse+ieDRB4+O3fL+tra2h2WyWWvxMZNVqNQBAs9lEtVot3vslG7xQ9KJvdXW12L/QL8Nh5ZiV0parsHItdss+I9/uuLm1j0GLszGj5cwLzbieFyGEENIPus4uFJHzROTjInK7iNwmIi/Nj79KRL4jIl/O/y5z1/yWiOwTkTtE5OmbqZB/0JlIiQ9sb11xZW6IsTELjT1w7SGeaGNRdkpU+b/UtVEc+oe3CZBOriifty/Lz55bWVkp3Fy+PVaeX1Mq5ulFiJ+h2K1dPp7KC9N6vV600edl9fMrp3vXYLSCeYuSj9Oy9rZaLVSrVczNzRUi09pm15gAj8tCAChEoF2zurqK5eXlUmEeX5ex02OCkFGHY4KQNL1YslYAvFxVvyQiuwF8UUQ+lp97vaq+xicWkYsAXAHg0QDOAfD3IvJIVS33cwFtD3QTUc1mE2tra20PWHuw2jX2cPUPR59PdBFGS41hYiBuZRMDy339du/ejdXVVSwtLbWV65eb8OVHS1EUXt7a4q/1Vhnv2osuS+82i/lEq5bhLUS+X8ySFgPgfXq/bILlFS1t/r8XbN5aZywvLxcWSm8Bs8VOl5eXN6zerqptVjhfjt9WJ8Z0RUugr2MPyzjsyJggZIzgmCAkQVeRpar7AezPXx8TkdsBnNvhkssBvENVmwC+KSL7ADwewD+VXeAtJfaw8+5BP/MsCgt7UNbr9ba1o+y8WV1SaziFdvZkqfJpbHV6E3t+gUyfr3/txZsXXtGSFevm3Y0pC1TqepFsskB0r3mh5WfypcpcW1sr9jO0vE1o1et1AGjr2ygc7TO0sgAU4gfIrE1m8bProwWs2Wy2WSTLXIRRPPq+9feYP+/rl6p/ip0YE4SMExwThKTZ1GKkInIBgMcB+Fx+6CUi8lURebOInJofOxfAPe6ye5EYbCJytYjcIiK3RGuTd/vYQ9U/NH28k58lFq1FPuA9LkiZ1yHpToxuLZ/e5+8tObOzs0m3n7/OKDse6+DTm4Azt6FdX1bHKCi92LANtaNw9fn5c1amX02+Xq9jeXm5sJ55N6Zvv7dY+cD4GBPl1xFL1cXfA1Z/3wd2X0TLm8eLU399XPdrMwxqTLTAVefJeMIxQcg6PYssEdkF4N0AXqaqRwH8OYCHA3gssl8wr7Wkics3mIhU9RpVvURVL/HiyQKqvaUitXCmnTNx5fev81aN5eXltmn6bY3PBZyJB/tftkhpDIT3Im5hYSHpkrJ4ohi0HdOZwJqdncXs7GybyEqtzu7baW3zQsjEy8LCQtsyD15QRAtdrJu9ju02K6N9VinB48WL9W2r1Sq2QbL6+m2LfJydF1Ipy50X3dVqtc2l7NvmrWL+vRdtMU6tVwY5Jmpo9FwPQkYFjglC2ulJZIlIDdnAeZuqvgcAVPV+VV1V1TUAb0Jm6gWyXyTnucsfAuC+HsooxINN9TfRYOftv4/JSlk+gHU3mIkVy6uTW8uf8w/2+OD1AtBEXxQYht/YOPUANwuOX3sq1tHHq8U6+PqX9ena2lrbxs/eTeb/fBti+b4MC0bftWvXhoB0307/3y8M6vvVBE6qHinLY+yDVL/4dF5ExnOppT16iMeyfAc+JggZJzgmCNlIL7MLBcC1AG5X1de542e7ZD8L4Nb89Y0ArhCRhog8DMCFAD7fU2VyS5ZZPTwpsdNoNJIPSRMVKysrRfB8tFSsrq6i2Wy2WX9S5UUrVurPro8LaHo3n7dihf4t2utdnia6vEuzUqmgVquhVqu11cdfV4alixsupyw4XvCakLGZeiKCxcVFHD58uG3DZ/8ZWnkx+D7+Wb7ekpcKVE9dKyJoNBqYnZ3d4BK1836BU2u/F1m2MGn8PLqxk2OCkHGAY4KQNNLNPSIiTwRwM4CvATAl8tsAnovMBKwAvgXgxZoFP0JEfgfALyKbcfIyVf1QlzK+B+AEgINbbcgEcDrY/lFp//mqekbZyR0aE8cA3LG9Zow9o3RPDINRaj/HxGgwSvfEMBil9nccE0ZXkbVTSBYAf8mw6zEs2P7pbn+E/cE+mPb2R9gf7INxbP+mZhcSQgghhJDeoMgihBBCCBkAoySyrhl2BYYM20887A/2wbS3P8L+YB+MXftHJiaLEEIIIWSSGCVLFiGEEELIxECRRQghhBAyAIYuskTkGSJyh4jsE5FXDrs+g0CyPbsOiMit7theEfmYiHwj/39qflxE5I15f3xVRC4eXs37g4icJyIfF5HbReQ2EXlpfnxq+mAzcExM/v3AMbE5OCYm/36Y1DExVJElIhUAfwbgUgAXAXiuiFw0zDoNiOsAPCMceyWAm1T1QgA35e+BrC8uzP+uRrb317izAuDlqvooAE8A8Cv55zxNfdATHBNTcz9wTPQIx8TU3A8TOSaGbcl6PIB9qnqXqi4DeAeAy4dcp76jqp8CcCgcvhzA9fnr6wE8yx1/i2Z8FsAp0r41xdihqvtV9Uv562MAbgdwLqaoDzYBx0TGRN8PHBObgmMiY6Lvh0kdE8MWWecCuMe9vzc/Ng2cZdtL5P/PzI9PdJ+IyAUAHgfgc5jSPujCNLd9Ku8HjomuTHPbp/J+mKQxMWyRldqNd9rXlJjYPhGRXQDejWyfsqOdkiaOTUQf9MA0t72Mie0TjomemOa2lzGxfTJpY2LYIuteAOe59w8BcN+Q6rLT3G+mzfz/gfz4RPaJiNSQDZy3qep78sNT1Qc9Ms1tn6r7gWOiZ6a57VN1P0zimBi2yPoCgAtF5GEiUgdwBYAbh1ynneJGAFflr68C8H53/Mp85sQTABwxU+m4IiIC4FoAt6vq69ypqemDTcAxkTHR9wPHxKbgmMiY6PthYseEqg71D8BlAL4O4E4AvzPs+gyojX8FYD+AFjL1/QIApyGbKfGN/P/ePK0gm0lzJ4CvAbhk2PXvQ/ufiMyM+1UAX87/LpumPthkf3FMTPj9wDGx6f7imJjw+2FSxwS31SGEEEIIGQDDdhcSQgghhEwkFFmEEEIIIQOAIosQQgghZABQZBFCCCGEDACKLEIIIYSQAUCRRQghhBAyACiyCCGEEEIGAEUWIYQQQsgAoMgihBBCCBkAFFmEEEIIIQOAIosQQgghZABQZBFCCCGEDACKLEIIIYSQAUCRRQghhBAyACiyCCGEEEIGAEUWIYQQQsgAoMgihBBCCBkAFFmEEEIIIQOAIosQQgghZABQZBFCCCGEDACKLEIIIYSQAUCRRQghhBAyACiyCCGEEEIGAEUWIYQQQsgAoMgihBBCCBkAFFmEEEIIIQOAIosQQgghZABQZBFCCCGEDACKLEIIIYSQAUCRNUGIyG0i8uRh14OQUUBEniwi9w6x/G+JyFOHVT4Zb0TkAhFREanm7z8kIlftQLmvEpG3DrqckrLb2jwJUGRtk536Iu3lxlfVR6vqJwZdF0J6QUQ+ISIPikijx/Q7+gWbl3W/L09EqiJyQER0J+pAxpv8+39RRI7n99JfisiuQZSlqpeq6vU91mkgz6T8h4uKyHvC8cfkxz8xiHLHGYosQkjfEZELADwJgAL4maFWpjOHAVzq3l8G4MEh1YWMJ89U1V0ALgbwrwD8bkwgGZPyvP0egB8TkdPcsasAfH1I9RlpJuVDHwlE5D+IyKdF5DX5L/hvisil7vwnRORPROTzInJERN4vInvzcxtcG/aLRESeAeC3Afxc/ovpKyXlF79gcsvXu0TkrSJyTES+JiKPFJHfyn+p3yMiT3PXPl9Ebs/T3iUiLw55v0JE9ovIfSLywvxXyyPyc428zd/Of839LxGZ61e/krHkSgCfBXAdsi/gAhGZE5HXisjd+Tj4dH6/fCpPcji/z380WnATLpSO920P3JDX1df7LaG+pWWIyOki8gEROSwih0Tk5tTDVER+MP8+uGKT9SNjgqp+B8CHAPwQUHzf/7GI/COABQDfLyIni8i1+Xfpd0Tkj0Skkqev5N+jB0XkLgA/5fPP83uhe/8id1/+i4hcLCI3AHgogL/Nx9Ar8rRPEJHP5PfpV8SFlYjIw0Tkk3k+HwNwepemLgN4H4ArrN4AngPgbaG+b8ifM0dF5Isi8iR37vEickt+7n4ReV2qIBH5d/lz7Ye61GlkocjqPz8C4A5kN+qrAVwrIuLOXwngFwGcA2AFwBu7ZaiqHwbwXwH8taruUtXH9FiXZyJ7iJwK4J8BfATZZ34ugP8C4C9c2gMAfhrAHgDPB/B6EbkYAHKR958APBXAIwD8m1DOfwPwSACPzc+fC+D3e6wjmUyuRPal+zYATxeRs9y51wD4YQA/BmAvgFcAWAPw4/n5U/L7/J96KKf0vu2R9wH4cRE5RUROQWZ9e/8myng5gHsBnAHgLGQ/htpcjXnajwL4j6r6jk3UjYwRInIeMkvoP7vDvwDgagC7AdwN4Hpk3/uPAPA4AE8DYMLpRcjus8cBuATAv+9Q1rMBvArZONuDzFr8gKr+AoBvI7euqeqrReRcAH8H4I+QjbdfB/BuETkjz+7tAL6I7Jn1hwg/ikp4C9Z/nDwdwG0A7gtpvoDsmbA3L+NdIjKbn3sDgDeo6h4ADwfwzkQbn4/s2fJUVb21hzqNJBRZ/eduVX2Tqq4iG1BnI/vyNW5Q1VtV9QSA3wPwHPslMwBuVtWPqOoKgHchexD8qaq2ALwDwAX5gwWq+neqeqdmfBLZQ8F+eTwHwF+q6m2qugDgD6yAXEC+CMCvqeohVT2GTBDyF/uUIiJPBHA+gHeq6hcB3Angefm5GWQ/Ml6qqt9R1VVV/YyqNrdSVpf7theWAPwtgJ9Dds/emB/rtYwWsjF+vqq2VPVmVfUi60l5nlep6ge20kYy8rxPRA4D+DSATyL7/jOuy783V5CJjUsBvExVT6jqAQCvx/p35XMA/A9VvUdVDwH4kw5lvhDAq1X1C/l9uU9V7y5J+/MAPqiqH1TVNVX9GIBbAFwmIg9F5uL8PVVtquqnkI2HjqjqZwDsFZEfQML6m6d5q6o+oKorqvpaAA0AP5CfbgF4hIicrqrHVfWz4fKXAfgNAE9W1X3d6jPKUGT1n+/ai1yQAIAPhLzHvb4bQA3dzbNb5X73ehHAwVz82fuibiJyqYh8Nnd5HEb2i8zqdU6ot399BoCTAHwxN0UfBvDh/DiZTq4C8FFVPZi/fzvWfx2fDmAWmfDaNl3u216xX+XJh0WXMv47gH0APpq7El8ZLv8lAJ9R1Y9vsk5kfHiWqp6iquer6i+r6qI7578rz0f2fb/ffVf+BYAz8/Pxe7ZMNAHAeeh9DJ0P4NlWZl7uE5H9ODgHwIP5j/5eyvXcAOAlAH4CwHvjSRF5ee7OPJKXeTLWx80L8P+z9+7xll1Vne9v7L1PnapK5VWEBKiEV4gt0H4IGAFR++InNiQoBvsKDbaSS6PBBxf0ggJqi7btba5X4OqnldtB6QQQMTyE2A0I5gOCegkJNIaECARCksqjElKVVFKP8xz3j7XmrrnnGfOx1t7rnHXO+X0/n/M5e68115xjrr3nmb8zxphzVdGPfxaR60Tkx4LLfxXAH6vqhq0OnhVbZpnkJuIc7/VjUSn67wA4gkqsABjHuX2h0tlqJ6lWf30I1STzUVVdEpGPAHBhzrsBnO1d4vfhO6gE21PrnASyjZEqt+olAIYi4v7hmAdwmog8DcBXUHmKzgUQ5hZa3/GJcQHgUV5bue9tKZ9DNeEoKm/EuaVt1J7b1wF4nYg8FcCnReQ6Vb2mruLnAbxBRN6uqr/S0C6y+fG/03cAWABwRu3ZCrkba+eHGHfA+54m2nRl36OqPxcWFJHHAThdRE7yhNZjjTos3oPqH4x3q+pRPyumzr96A4ALAdykqqsicggnxs03ALys9mz/GwAflMlE+ucB+ISI3KOqHyqwpbfQk7X+/LSIPEVEdqPKi/pg7V36OoCdIvKjIjKHaoWKv/T9AKrwXhef2Y66rfsALEuVrP887/xVAF4hIk+u7R7nW6nqKoB3ospTORMARGSfiDy/AztJ/3kRgBUAT0GVj3E+gCejEjIvr78v7wLwNhF5TJ3s+/21mLkPVW7WE736vowqZ+qxInIqgDd553Lf2yLq8N4LAfx4EOrLtiEiPyYiT6rD5ofrvq941z8E4KK6D29pahvZOqjq3ahCzW8VkVNEZCAi54qIy3G9CsBrRORsETkdQOgV9flTAK8Xke+ViifVggmo5gp/DL0XwAtF5Pn1eNsp1UKrs+sQ4/UAfkdEdtSh/hcW9udWVPm5v2GcPhlV7tl9AEYi8luocscAACLy0yLyyPrvwQP1YX/c3IRq3PyxiPR5dXIWiqz15z2oVlzdgyps8hoAUNUHAfwiqsFzJ6r/4H1X6Qfq3/eLyJdmaVD93/hrUA3yQ6jyZ672zn8cVYL+p1H95+ISkl0ezRvq458XkcMA/hYnYu9ke3Epqvy921X1HvcD4L8A+HdSrQp8PSqP1nUADqJKbh3U4fXfA/APdVjj2XX+yF8CuAFVcu44ryn3vW1CnTdzk3E818Z5qL7vD6MaF3+iwV51qvoAgH8N4GIR+d029pEtw8tRCfevovo+fRCVFxWo/ln9G1Qe3i8B+LBVAQCo6gdQjZX3oRLyH0GV8wVUuVy/WY+h16vqHQAuQbUo4z5Unq1fxYn5/6dQLdg6CODNMELmCTv+XlXDhHfU/fg4KufBbai8134o9CIAN4nIw6iS4F+qqmEu5D+hWgjwTvFW6W82ZO0/bqQrpNqo7b2q+qcbbcs0iMiTAdwIYD7i9iaEEEK2PfRkkSJE5Cdqd/LpqDwPf02BRQghhMTpTGSJyEUi8jURucVYcUM2H69C5Wr+JqrY+S9srDmbD44JQk7A8UC2A52EC+uVcV9HlYewH1XuxctU9aszb4yQTQDHBCEn4Hgg24WuPFnPBHCLqn5LVRdRbXx5SUdtEbIZ4Jgg5AQcD2Rb0NU+WfswuZJgP6rVC2NE5DJUjxsAqkdsENIbVLXpXks5Go2JIYbfu/vEimdCNpTjOIJFXZjlmMiOB4BjgvSX0jHRlciyGp6IS6rq5QAuBwCpHviarlAEpaFNv6yqjt9bbZS0OxgMsLq6ClUd/5TY0MbWWdVbUp/fdqzeJu3F2i357FyZ0J6m4Wzf3thnnqOjFbeNxsQpslefJRd2YQchjbl2vLfqzMiOB4BjgvSX0jHRlcjaj8mda8/G2odHRrEm5dTE5yZTf6L2J+tQxDSZiFUVKysrWRvakmo/7EPKzrm5OczPz2NpaQlLS0tYXV1d008fdy4UM/77wWAwUa5EZLrPwW+35L75ZcLPP+x3SsSlrttgphoThGwxOB7ItqCrnKzrAJwnIk8QkR048eDVInKTeOyYdV3sWOnkb9Xjiw/LlqaTe8yWwWAwbitX7+7du7Fv3z6MRiOsrq5O2OK8cal6wmO+uBqNRhgOh2vstOwOxVobz5sllGLePqt+d99K21ynveKmGhOEbDE4Hsi2oBNPlqoui8irUe36OgTwLms35ZZ1j1+XeGqaelFy17cRD00ZDAZJb40V5jt8+DAOHz48cT70flkeopzHaGVlJevJc14vv4y7xrpPqXua8+yVhDWbiKb18nZ1OSYI2WxwPJDtQmcPiFbVjwH4WFf11220us4XUL5YSYWdrAm+jZclZk+TEGkYHrXstQSTfzwUYVZINcyTymF5CEtysaz3KeE7Lan8vC69WusxJgjZLHA8kO1Ab3d8z4X+QtHQhjB8VhKmjHmySkOVJfaWCBtXJha6DOuwxEwouMI2/XBliqZirCT8mbt2GnI5cIQQQsgs6MyTNS1WKMsKfcW8QF3he3xSQisMgVllAEysXCxpOwyLLS/Hn2zji6iYsHD5W355/5wviKwQpLvOHY/1Y1ox7Ci5T+v5fSCEEEJi9FZkAbb3pWlIbdr2p52wSzxSufOW96xE2DRpMxYSjSWy+6Kri+TxXH5WWNa3tVSIubJN8vcIIYSQUjaFyCpNdreujb23yqdWtVmJ5yWeolxbKS9X2yTvUBhZ5VLvwyT2VPJ6Sgzl7lFO3MQEpBXqbIrVN4otQgghs6R3IismQNz7pt6p0vIx0WFNvDmPSZuwWUrg+f12AsgP88Xww31NhIMl9lz7/qasJXXEcueaLArw62krgEKRTAghhHRNb0RWmPMTio5ULpQr485b79vYEyPmWQtDajkvk4hM5GOVJJA3CaH5dVntpdqIedhSXiu/Xfc61UaOWI6bdb3/vYm16/Lf3GsAGA6HWFlZKc6LI4QQQkrp1erC1ASaKj/rkE/JirrQjjBHKbTLoomnzheZlictlYQPoHhzzljbYbsxb1dp30uFYtPVhKnPwRKOy8vLWFlZocAihBAyc3rjyWpLKufHEgJuo89UuM1/JE1Yby6XyQqTxYSH5bkrmez9MGDMrrCd5eVlU5SmhFpT/Psb8+JNu5igJE8sd9y/705QU2QRQgiZNb0TWcPhEACS4ZtUKNHCn5D9R85YoTSrjZzXJqzbr98SNrn6U8TCYiVCwZ33xWBJcn2J3SWhTiuk6yfZp4RviYesjSeNYUJCCCFd0TuRZQmVWRGrz226WZJMXtpOqr2wTGm703qdRqPRxL5cfo6WZasvPgeDAebn57G6uoqFhYWikG6JjaU5ZrnrrHtekhs3jQ2EEEJIit6JLJ+Yx8gSAyXJ4rHw4erq6vhZe6k6wvpcHamyufraiEi//dz1vn2uj+EWDVZZv63hcDj2MLp75rxhsXymWLjV8uiViNLweY6x/vvesVIosAghhHRB70RWEwHhX5MiFRJr68GywnYluVsiguFwiJ07d2J5eRnHjx9vLLRK87HCfofvfS9WaGMoeFZXVydywXzRYwmtEs9WeA9LwoWpY7H6S79PDBsSQgiZJb0RWaW5NK5ME09QbDK2tk/wJ+SSui2PTaoPw+EQc3NzeMQjHoHl5WXceeedZm6VLw5i4qM0LOY8O67O0Wg0DvlZAstv0w8ZuvJzc3MYjUY4evRo0X1SVezcuRN79uzB8vIyDh8+PHGujchMhfj83DO/TysrK+a9yi2YIIQQQtrQG5FlTXRu5Zeb8K2JtU0+TWnoryQM6cqFIa+Yp8ntyXTgwAGzveFwWLyXVUhM8Pl2xnKqYvWqrn0+4vLyMpaXlxt5AOfn5/H0pz8dDz74IL70pS9lw7NWn2I2huXdeX+VqF9X+Dq1IpIQQghpS29EVkhs5Zw/EVqhviYeMYtc6C0VBozZaV1z/Phxs21/q4USERPLNbPwvVNWPaEtFqk8rFh9IoKjR4/i2muvjYqznKBNJeb7Ain0UIXfB8tTWSr4CCGEkCb0RmRZHilruwXrvE/blWql5Oq3wo5d2jON98VKSi8N/5Xih+qOHDli1j+N6Eudi30OJflshBBCyLT0RmQB+c0kc8Kl5HxTAdFELKUm9abXh5TY0VTYxURtyXU5IWnlRYUeIz/xPXZ9Cl+whfU426w9wVQVo9FovKqUQosQQkgX9EpkOWIT5rQeljaJ7H4Sem4FXMkqQ4e/jUIs+b6p7alyuSTxprlu1gpHayVfkxBlU1ybw+EQu3btwpEjR9bUb+W3iQiWlpbM+577jAkhhJBSevXsQkcsz8qnSS6SO+eLICvp3N9fKRRMuecZhoLDbXkQC7/555tg2e63myKVT2a109QuR3iv2oTnLNtiNrlQZHhtLvQZ3stpRR8hhBDi0xtPVkwA+ISJ5W2W3qcESug9C1eqAZMPWvbLhx6bnPfNEhFh8napRysVjrQSwkvqtIiJJct7ZSX+57xjVlu5VYVhyLEkZBzeL1XF3NwcRATLy8sMHxJCCJkJvRFZOcJJMZxMc5O3NcE3SYoumcibeEJS3qOmk3xJnpZVvlQQpuoeDocTwiQWHgw/s7ZeIyucG4b9nBAuXRjh8sUorgghhMySTSOyQqwcoJKVfzt37oRItaHmwsICjh07NnE+rGc4HK5J2nYTu1+2jVctZnepAMkJTP/exISkX0/uHlp1uOcauvuTsyVVxrfB8irmRLF1H0MBFhPKzMMihBAyazatyAopESbumXtA9bBkt1dVTij5oipVvgu7Q+FjiZBpPENNbInZ5VbwhQ/3duWsdkaj0XiF39LS0ppH/IRtxeoKha4fDrS8auH9o/eKEEJIV0wlskTk2wAeArACYFlVLxCRvQD+EsDjAXwbwEtU9dB0Zlb4IieWhxSb1AFgaWkJS0tLAICHH344ea17He52HmujK5rkJsWusfLdSpPnU0nrzotllY3ZCVSizD1eaGFhIbkfWqxOa2GCsymVj9UmP6wJ6z0mCOk7HBNkOzOL1YU/rKrnq+oF9fs3ArhGVc8DcE39fmbMKm/JCiOFHquSuiRYlThrLNGxHqvgwlBjKrHePSrIEoLWqszV1VUsLi7i4YcfxuLi4ri9VKixxOMXs9MK7/o2dnA/13VMELIJ4Jgg25Iu1MElAK6sX18JAEqvjwAAIABJREFU4EVFhtSTcclk2pSUQEglR8dypWJJ3ancqmkTvZuIq5KE/CZCMqwrzI+K5TPFBLG7xt03f8+wsB13PPRixmy2Qrz+tbGtOMJ+zZhWY4KQLQzHBNkWTCuyFMAnReSLInJZfewsVb0bAOrfZ1oXishlInK9iFxfl/XPRRssnQRLJkx/0vXFTNt8neFwiNHoRAS2y7CiLwpCgdBURJR470oJhU4uodwXPTGxWkIsTBjen9DbFvZ9BvdhJmNiCQvT2kFIX+CYINuWaRPff0BV7xKRMwF8SkT+ufRCVb0cwOUAICJrZraS/JzYMf96v56YwEjlHVllrUnZDzvGrrXqCtsu6bOF5TWL5WmFu82HIsey19XhhGlMPOWS08Pj/tYJltcuFuoLPwf/83bvR6PRRBsxMRV6yaYUWjMZE6fIXmbkk60CxwTZtkzlyVLVu+rf9wL4KwDPBHBARB4NAPXve3P1uAnRbZfgH7c8NYENWY9EzjtS4snZsWPHeMPK0HZ3bGVlZc3z+WJYobDwXBOPjiWYrLb88sAJT1Is9ysMsTnRErYbtuUTy1nzw4ah98v/iYUAffv8z0ZVMRwO8axnPQvPec5zsHPnzglbYmKuzQ78Rp9mMiYI2SpwTJDtTGuRJSInicjJ7jWA5wG4EcDVAC6ti10K4KMl9bkl/TlBtd44W4bDIXbv3r1GADnPkP8g5DaEHrHQhlJbrdeWAA0FhuU9Cm3z642ViXmyLDstsZMSn2Gd7md1dXViFahI9fzBm2++GV/+8pcn9vByQt7yPLb97LzrZzomCNnscEyQ7c404cKzAPxVPTGNALxPVT8hItcBuEpEXgngdgAvzlWkquNVZiUCo0Rs5cJeuXp27Ngx3v/JTdqxfbVmvZFl2OfS/qaEWkhMxFjiy2oj1o5lR3i/Y8KmqYhOCUFVxcGDB9dc4+9OP62oMpjZmCBki8AxQbY1rUWWqn4LwNOM4/cDuLBlnQDWTs7uXNtJ0fLq5OpyIajFxUUzrBXaHYqTJrZN66HLhUNDrHyw2HlLaLkyKXvCEGAJKcGVE56p+5gKl7pQtduGYhq6GBOEbGY4Jsh2p1c7vvuTsz9phonWsQk1lY8UHs9N/EtLS1heXp7YKHM4HAKovCG+AGkilFJeHYdrJxQqLv/IEgOxrSicFy4kJWJSosoSXmG94bk2QtLa1iH8XljtxN6nBLILNbYRyYQQQkiMXoksH5frNBqNcOaZZ+Lo0aM4fPiwuQO7f03JsRLcbuYuZOgm41AchR4R97ieUBCU2OMmeZc35Hant8Sh2zU95YHxE8Ndn9zxpiGzkhCm+8xifZ7W0xeGaWP1W2VKw86z8CwSQgghQM9EVji5DQYDzM/PY2lpCcPhEKurqxOelFxitF+PO1Y6gboQYco75k/uvqcr5pGzsBK9/V3QQ4Hl3sdWMoZiwu9DiRfIF3GxxHCrHl90hh6+nOcrZYdVromAirUb80BSYBFCCJkVvRFZlmdoZWUFR44cGT9nsEm4z9EmdOWXKfHCOCHhEuOtfoVYIiZld46Y0MgJvDB/yq8rdm1KwIT1+F62kpyp0vsdXpsiJfIIIYSQruiNyHKEIaE2IUArRGa1UZK8Ha60iwmT0L6UB8WVCev3z8dyqWKoVntDWXWm8tdiD2d2oT/f1tDOubk5DAaDiVWXfrlwP63U/bD6459P9SF2PGZ3yh5CCCFkVvRKZM3NzWHnzp1QVRw9ejQqZCxvlC+swutC0eMnhMdEnL/6Lrzesiv0rsTEkwt7WqFISxw0YWVlZSInyn8+oNXH2HtLmFj5UIuLixPnrPrC85Z4zCXT+/WU3Jfws8gJLAovQgghXdAbkeV24t61axdWVlZw7Nix6Ko4a5fy2AQcS4bOTaix86kk81Q404mIcAfzkjat85YgyeVeWUKmyT1pYqvVbonXKlVv2xBxDoYTCSGEdEFvRNbq6iqWlpZw3333TWxTYIXsrEnb8lakktabUuJdCgVdKjk8RSpfK2V/zkZrWwT/2lJSXsKwDf936f2b1qOUum9tPxNCCCGkKb0RWZYXxj/u8IWWHxpz5XyBkgoFljCNhyPm1cpN9j45L1RbUl4wnzZJ57l8tRS5PLewnRglqwYpqgghhHRNr0SWlahslXE4r8nKyooZjnOkJtRUuCwWdmuSnB6KKD8XK2abn4zuylhiLNwrq9RbUyJQUvlhlvB1+MnuTbfOyH1OvsC2xJ6Vd5fyCLo8vpIEfUIIIaQpvRFZbnKbn5+Hqo53W09N8OE5fx8t65pSL0l4bYngi13r9s7yhWCuHUssxbxK/gaprqwLtzbx/vh1ArN7HmPYh5z48W21RHPsmrDe0iR5y1ZCCCFkFvRGZI1GlSkrKysQEezevRsPPfRQtLyqvUWAJWSaTO5hff514arB1ITvzrltFaz9omJJ6JYnLhRhYfvOa2SVd1i2hPaWCo0SERN67azk95jwbCryfHEV5oVZqxfdvfC/Q1xlSAghZJb0QmRZIubYsWPRcu51eM6nJDTWBDdxO+9KqVfIejSOVS5XX86bkwvxAYgKvZjAinnU2uRc+d41K/SaI+Wh9FG1H+0Tli3ZJJUQQgiZhkG+SPeMRiPs3bsXQLX30uLi4jgMlsvTiiVix7wSvpALQ49hXZaQ81c9OtyWEmHdoYAJvWOW3SUhyJKE81gZ5zF0z2V0z0mMXWP1xWIwGOC0007Dueeei507d070x/cyhULZ/0kJOOuamK3hfRgMBjjllFOwZ88e8+HbsxLihBBCiE8vPFnLy8s4cOBAsoyVdyQia57fZ+X+WOSERc4GH98rYnnUUiHMVL1+fX6SuyU6rfBaeI9cDpcTGqurq+PwrH8/2nh2VldX8cADD+CBBx6IlmkakgyJiSs/PBqKNPf6yJEjE+FBS+zRo0UIIWSW9MKT1WZyS3meUmFFv3wTe5qEyPz8qBip9kMPjxNFvh0lHq/du3fj9NNPx3A4XBNCs7xnTrw6cdaUkntqfWYlXiUrdGnVH752LC8vm4K8TeiSEEIIKaEXnqwYqQnVT3IOJ25rQvc9R1YidCg6LC+T315q9d6uXbvGO9b79aTCjyG+AHFt+W1afQjfLywsrAm7+onvMQ+Oe/RPKEpi7fjHY33JhQCtOkIRFHqspsnDs0K39GQRQgiZJb0UWSWJ4K6c9YDjcLK0PDiWSLGubePdOHbsWNGEnSqT8syE4nA0GmHXrl04fPjwRLmlpaVx4r1fPla3fz98gWitRgwJxWSsb6m9s2LCN+e98j/LpkKpiYeSEEIIaUIvRRZgi4yc9yQME/q5WRahl8R5cFJlQm9SaIN1nY8TGeGGo2F9oWC0cshcH5eXl7GwsBC1xceyXUSwd+9eLC0t4fDhwxN5S2FbuXotG8Jzqftl3YNYvdZxhvwIIYT0hd6IrDA3J3cuFkK0SOUixTxaYRnfjljdKW9KKCIs70vsdyyc5tdz/Phx0/4YYT2HDh0y+6iq46T75eVl89pcO1aYNFYPQ3eEEEK2Cr1IfAfSm0/mwocigh07doy3I/DLhvshpZKsw40pQ6+KExwpQZgLP41GI+zcudMUE7GEc7/90jwkS4zFvGFAdZ/Cz8B57VR1YoViKS6HLSUSQ3ssO1L1N7HD32pj2joJIYSQHL0RWdNObktLSxN7WKVEkJXsHCZCh8ni7ryV8G61EcMllFtl/D2rQlIiaX5+Puotsuxqk7cU9ju0wbItZ39O8KRosgoy/Axj/afAIoQQMkt6Ey70xY8Vdot5bNx7P6E69DSFHqDYZBsTXuF1JbjE8VCMrKysjMNuYXtLS0tmjpl/XxxOYOzcuRM7duwYX+/aCO3N9bVpH2N1W+FTv81UeFYk/8Dt8HMejUbm/YyFblP5dAxREkIImSVZT5aIvEtE7hWRG71je0XkUyLyjfr36fVxEZE/EpFbROQGEXlGqSGWMCq5xv0ejUbj/aCs61PJ17FwlhMFuVBcDMuG3LUlniCg8nq5EKm1B1Rsr64SG8I2LbGY8pTF2gvb3rFjB+bm5qL1WW2ORqOJa8LPzhJ5odia1mO1XmOCkM0CxwQhNiXhwisAXBQceyOAa1T1PADX1O8B4GIA59U/lwF4RxNjwokznGSd92Z+fh5zc3MYDAZjcbW0tDTeE8qqK8TyYKTCjFZdw+EQc3NzY3EXipJQOPp98nO7Yvh2+blKrg7/2HA4HG/l8IhHPMLcwNTvh+/tyQkc/7qUQIn1V0QwNze3pm8LCwtYXFwchyJPOumkNXlTItVmrM94xjPwkz/5kzj11FPHe5X5XsHwfoV9t8SYK1fyaKGAK7BOY4KQTcIV4JggZA1ZkaWqnwVwMDh8CYAr69dXAniRd/zdWvF5AKeJyKObGGQJrXByd/lXLrzkh8dyuUMlyc+uLvfbEjm+fbt378aePXswGo3Gie2+EHTtnnLKKdi9e/c4pJfbiNSyx7G8vIylpSUcPXoUR48eHde3sLCAhx56aEJYhN4c9z61M30qj8kSbaHtLmfKlbM2RQ37tLi4OH7tL2IYDAa49957cdNNN+HYsWNYXFyc+FxKPKAp8WzttZZivccEIX2HY4IQm7Y5WWep6t0AoKp3i8iZ9fF9AO7wyu2vj90dViAil6H6L2YCK1/H8jKUhhb9+iyvRoyYDWHdqrrGg3byySfjnHPOwe23346DBw+OxYLz2sTqCvONLM9QLOdpZWUFg8FgIhdsNBqN7bP6EN43/z659yXixQrJ+XWGoizmRfRFlhNXTtzeeeedANKrUGNtp/DtKr0mwkzHxE7sbmMDIX2CY4Jse2ad+G6pF3PGUtXLAVwOACKiKVHjvCLutdvF3JrgXVlrKwBX5xlnnIHBYIBDhw6N6woFRiy8FvQBy8vLWF5eHpebn5/Hox71KJx00klYWFgYi56VlZXkNgiW+Aj7Z4kgv6zz6gyHQzzqUY/CwsICHnzwwXGdfmjNeZnCusL+WfaGdrhjfgjU39A0JtZC+/3jo9EI8/PzeOihhxoJqyaEwm8KgZWi1Zg4RfYyC59sVTgmyLahrcg6ICKPrv87eTSAe+vj+wGc45U7G8BdTSoOJzqXz+MEjdv+IAyFhXWkvCsrKys4+eSTAQAHDx4ce6L8ukIbYh6x0Lu2tLSEr3/961heXl7jtYoJDEs8+WGs2H0K6/Rf++JkOByOw5eHDx8e2+bTRFxY4ta/J6V1hcLLv25hYWG82rKtAMp5OEvKNaCzMUHIJoVjgmx72u6TdTWAS+vXlwL4qHf85VLxbAAPOndx1pBIIriqTky4wNrkcZ+YSPLLHTp0CLfeeisOHDgw4d0J83tcPU7Yhd4yP2fIF0b+nl1h/pbUidxhCNQXLq7O0Whk5pDlwp0rKyt48MEH8fDDD08Iqpxoi9WbCpX6r/17FZYTqbab8BPyYzivnG97Bx6morBxA2Y+JgjZ5HBMkG1P1pMlIn8B4LkAzhCR/QDeDOAtAK4SkVcCuB3Ai+viHwPwAgC3ADgK4BVtjLJCWFbIzhckLjzlC4lUnlDYlmWDlcMUertCL4z/CBorxBh6gEIvGYCxuPLr9YWb3wfLI+POOU+aquLhhx8uEiqj0cgUm34Se9huiHXvwms6Cs0VY+Vgxew2rl33MUFIn+GYIMRGNnKiGxshouFKNyu05hgOh2MR4LxKo9FojRDxr/WFRyxUZk2wVvjSCkU6W9zrMAzorjnrrLNw0kkn4dZbb53w0gyHQzzxiU/ExRdfjF/4hV/Aa1/7Wlx77bX47u/+btx///247bbbsisS/a0NrH5ZeWYhvshyZUpyolKi0bchVdYPr5aETEtoG2ZU1Q3d/v0U2avPkgs30oTe8Dd3fRkA8PzHnL/BlmxfrtVrcFgPckz0BI6Jjad0TPTmsToOy/sTJmj72zT4YSorJBUKi3A/q8FggJNOOmnNPk6O2CRvTdwpYeiOnXrqqWvCna5Pg8EADzzwAD70oQ/h0KFDUFXcdNNNuOOOO6LiMdamFbIrwU9YT4nPFLnyoe3W3lip8GVYT6pcH/6JIISQWXLvypGNNoEU0itPlhVaSzEYDLBr167xnlHumgZhHwCTQirnOXHCzG1A6ie4uwT9cCsCy5MU25nenXceJZczZoXw/L46b5jvecp56EJiodgmD212zM3NYX5+HsePHx+35fpiJbJbojF3vMl3N1aPBT1ZhExCTxYhk5SOid48uxCYzLvKeVKcmDhy5MjEeX8LBz/cNDc3h5NOOgnAiZV3Vo6TE0/u3I4dOyaEkxODbtsGd0xE8MhHPhLHjh3DwYMHx7aHKwzDHCC/P379bsuHWI5ZTHD5Aiv0bFkhPD9vy2on9jDrHG4Hfn+RgP+5lOZnWXlw/u/UtX5YtEnuHSGEEDILeiOyrBBhavKzQmOxvZ/cRO82A/Vzjtz14WTujvvbO/jHLYF0zz33jM+l8p927NiBU089FYuLi9GE9DBx3g+h5bZfiHnHQmLCy/I0leALKWe7v3dXmKuW8i6FdoWfrWVzzKZS7xXFFiGEkFnSG5HlEwqTEq8MUHmNwodEu3p8T5SfZO/q2bVrF57znOdg165d+MY3voGvfe1rWFpaGnuTLHEQip3U6j+XJzY3N4dzzjkHF1xwAVQVn/zkJ/HQQw+Ny1reK6utkJgAse7VYDDAzp07sbKyMg6zhu3ljvl981+HjzXyxVZY1hLEVmg1RUpA+e0Oh8M1uXwldRBCCCFt6aXIAuwd2J34chOmf95d43Kj3DMNw+t9T4s7PhwOx3tLfc/3fA/2798/sTdWODHHJuXY6kJnmzt/22234a677sJoNMLx48cnhJzVn1C4tLmPPvPz8zjttNOwtLSEBx98cJzsDlQi0NpI1a/L8gI6mniaSrxHftiyK+jBIoQQ0gW9EVnhJpX+M/jcFg1+qM9heZeOHTs2Pu9vWKqqEw+XDoXcDTfcgC984QsTzyJ05Dwrlgcm9Ng4z8ri4iIWFxcnBFRMhEyzhUFYp7sXKysrWFhYwNzcHPbs2YPFxcVxn/1NX8N+WGHKUGA1ESy55PtpCOt2q08pqAghhKwXvRFZVjK0n4y+Z88ePPzww2t2X/dzlQCsCUu5ydW999uyErxT+1DlBICVC+aLK0sk+tetB060uv66hQPOzlRYLZV4n6KL/uU+D8uT2DbXjBBCCGlDb0SWPwGGE/zi4iLuv//+ieRp/zortOXjP+LGEU62qjpeDeeuCSfjVPgMOJHv5YuqXLgrFGZtBYALeaZwds3NzeHUU0/F8ePH1ySkj0bVV8I9+DpGGDpcb6GYam/Hjh2Ym5vD0aNHAUyGmimwCCGErBe924wUmPRihceByfCbFaKykuStMqHoAia3LPC9ZKlQU1iPEyolE3q4zYDLOQt3wC+poyS/ydn0fd/3fXjiE5+4RqS6h3ADVX5WGMYNxcoswm8leV1h+dz5UCA28bwRQgghs6A3nqxU7pGbHMOVcOF5kWrH9x07duDw4cPjY1b5cMINvUCx1W5zc3PjXKown8qFJ33PWenE7ts5Go3MBy2n8BP4c2G0Y8eO4ROf+MS43743azgcjkOGLkR7/PjxNYLWD7+5EKS/x1eTXLKUSA6Pl9zP2PeEEEIIWU96I7Isj1QTz4PvYUnlVVnthp4rv+3QY+MnxafsnZ+fx+rq6kSifUmfRGRi93qLVJJ8qQjx23BeM+dFG41GGI1GeOCBB8YJ+n47/n3yRRaANQKzJJyY+9x9T134PWnqnQrzypgITwghpCt6I7IsmuYpqSoWFhYmHmsTni89XhIOi13nJnJ/ZaOPJeaAyktmecIs0RHmsMXqzOEvDnDXz8/PAzjh3UsJYPfbF59NE/v9e536LGL1Wosmmn7WFFuEEEJmTe9Eli8gduzYgcFgMLElQwmxhHVrkra8NMDkykDfU2N5jMI63DYNwNrH6oTl/dfhLu85sRKGE6cRCq7dY8eO4fjx41F73ftwgUBMlDYJmebCnOHrWB5aW+8WhRYhhJBZ0juR5U/Y/vMBQwEExENTIWHCfJhvZZ0PxY6fSB16jVLel/C1s9tPbI+JqibMIrE77FcoYvyHeFsPoQ5fh79nTewztwSwVS4mdgkhhJBZ0CuRFQoTJ2zCFW3+3lc+oUfCvbYe9RJe5/8G4on4ft0uHGgJnJyocPW7TVbbhtSmyU/ySeV/+Tlb7n76183NzY09d74N02yk2oQ2HrA2dRFCCCFN6M0WDr43p8QrEwqNMKHZF0B+mfCaUKS4cF9J236orGQCD3Fht9FoNLFVgmWrv62DFSaLhc5KieV9uddzc3MYjUamly+WA7cZoUeLEELIrOitJ8t/n8uxsjbh9I9Z11urCEvCWr6gswRhadhuz549OOecc3D//ffj0KFDYxG1uLi45vrRaDQ+F9ri/3av23pjYteFG5P6+WqxNkPR2ScPURtBTAghhDSlN56sJoQCx/qJUTrpW+LJ/bYe6JwLQYX17d27F/v27YOIjOvzhWHoYYvlhIW5YdOKmZJ7aR2bVdhyPQk/P4ouQgghs6RXnqxZkhI/g8Egmgflb7+QyrNK5YSFZa06brvtNtxxxx1jW6yHLztiWynEErm7FjkxL5WVE2clnPeNWYhTQgghJGTLiiyHNXmGD5EOCcVSmPNl5Uy1maRLNw+1ks1jtq+nWChJ9u+7wCKEEEK6YsuLrBDLa2F5ZKztB8JkeUvsWFsZ5OzJCZHSlYt99Mb00SZCCCFkPdh2IsuiiYjxRVGTvbKatG/t+2QJvvAaChpCCCGkP2QT30XkXSJyr4jc6B37bRG5U0S+XP+8wDv3JhG5RUS+JiLP78rwjcTf6qE05Nem/tSKvVhOGOkejglCJuGYIMSmZHXhFQAuMo6/XVXPr38+BgAi8hQALwXw1PqaPxGRoXEtKSS2RYQTd+GWEgDF1jpwBTgmCPG5AhwThKwhK7JU9bMADhbWdwmA96vqgqreCuAWAM+cwj7iESbgA+lNREk3cEwQMgnHBCE20+yT9WoRuaF2E59eH9sH4A6vzP762BpE5DIRuV5Erp/Chm2J76ly+2vlto4g68LMxsQSFrq2lZD1gGOCbGvaiqx3ADgXwPkA7gbw1vq4FacyZ31VvVxVL1DVC1rasO2Y1YajpBNmOibmMN+NlYSsHxwTZNvTSmSp6gFVXVHVVQDvxAlX734A53hFzwZw13QmEguKrX7BMUHIJBwThLQUWSLyaO/tTwBwK0quBvBSEZkXkScAOA/AF6YzkZD+wzFByCQcE4QU7JMlIn8B4LkAzhCR/QDeDOC5InI+KhfvtwG8CgBU9SYRuQrAVwEsA/glVV379GZCNjEcE4RMwjFBiI30IeQkIhtvBCEeqrqh+2CcInv1WXLhRppAyJhr9Roc1oMcE4TUlI6JaVYXEkIIIYSQCBRZhBBCCCEdQJFFCCGEENIBFFmEEEIIIR1AkUUIIYQQ0gEUWYQQQgghHUCRRQghhBDSARRZhBBCCCEdQJFFCCGEENIBFFmEEEIIIR1AkUUIIYQQ0gEUWYQQQgghHUCRRQghhBDSARRZhBBCCCEdQJFFCCGEENIBFFmEEEIIIR1AkUUIIYQQ0gEUWYQQQgghHUCRRQghhBDSARRZhBBCCCEdQJFFCCGEENIBFFmEEEIIIR1AkUUIIYQQ0gFZkSUi54jIp0XkZhG5SUReWx/fKyKfEpFv1L9Pr4+LiPyRiNwiIjeIyDO67gQh6wnHBCGTcEwQYlPiyVoG8DpVfTKAZwP4JRF5CoA3ArhGVc8DcE39HgAuBnBe/XMZgHfM3GpCNhaOCUIm4ZggxCArslT1blX9Uv36IQA3A9gH4BIAV9bFrgTwovr1JQDerRWfB3CaiDx65pYTskFwTBAyCccEITaNcrJE5PEAng7gWgBnqerdQDXAAJxZF9sH4A7vsv31sbCuy0TkehG5vrnZhPSDrsbEEha6NJuQzuCYIOQExSJLRPYA+BCAX1bVw6mixjFdc0D1clW9QFUvKLWBkD7R5ZiYw/yszCRk3eCYIGSSIpElInOoBs6fq+qH68MHnHu3/n1vfXw/gHO8y88GcNdszCWkH3BMEDIJxwQhaylZXSgA/gzAzar6Nu/U1QAurV9fCuCj3vGX16tHng3gQecuJmQrwDFByCQcE4TYjArK/ACAnwHwFRH5cn3s1wG8BcBVIvJKALcDeHF97mMAXgDgFgBHAbxiphYTsvFwTBAyCccEIQaiuiYMvv5GiGy8EYR4qKqVM7JunCJ79Vly4UaaQMiYa/UaHNaDHBOE1JSOCe74TgghhBDSARRZhBBCCCEdQJFFCCGEENIBFFmEEEIIIR1AkUUIIYQQ0gEUWYQQQgghHUCRRQghhBDSARRZhBBCCCEdQJFFCCGEENIBFFmEEEIIIR1AkUUIIYQQ0gEUWYQQQgghHUCRRQghhBDSARRZhBBCCCEdQJFFCCGEENIBFFmEEEIIIR1AkUUIIYQQ0gEUWYQQQgghHUCRRQghhBDSARRZhBBCCCEdQJFFCCGEENIBFFmEEEIIIR1AkUUIIYQQ0gFZkSUi54jIp0XkZhG5SUReWx//bRG5U0S+XP+8wLvmTSJyi4h8TUSe32UHCFlvOCYImYRjghCbUUGZZQCvU9UvicjJAL4oIp+qz71dVf/ALywiTwHwUgBPBfAYAH8rIt+lqiuzNJyQDYRjgpBJOCYIMch6slT1blX9Uv36IQA3A9iXuOQSAO9X1QVVvRXALQCeOQtjCekDHBOETMIxQYhNo5wsEXk8gKcDuLY+9GoRuUFE3iUip9fH9gG4w7tsP4zBJiKXicj1InJ9Y6sJ6QldjYklLHRoNSHdwTFByAmKRZaI7AHwIQC/rKqHAbwDwLkAzgdwN4C3uqLG5brmgOrlqnqBql7Q2GpCekCXY2IO8x1ZTUh3cEwQMkmRyBKROVQD58+Rq/EKAAAgAElEQVRV9cMAoKoHVHVFVVcBvBMnXL37AZzjXX42gLtmZzIhGw/HBCGTcEwQspaS1YUC4M8A3Kyqb/OOP9or9hMAbqxfXw3gpSIyLyJPAHAegC/MzmRCNhaOCUIm4ZggxEZU13hoJwuI/CCAzwH4CoDV+vCvA3gZKhewAvg2gFep6t31Nb8B4N+jWnHyy6r68Uwb9wE4AuA7bTuyBTgD7H9f+v84VX1k7OQ6jYmHAHxtum5sevr0ndgI+tR/jol+0KfvxEbQp/4nx4QjK7LWCxG5fjvnZ7H/27v/IbwfvAfbvf8hvB+8B5ux/9zxnRBCCCGkAyiyCCGEEEI6oE8i6/KNNmCDYf+JD+8H78F2738I7wfvwabrf29ysgghhBBCthJ98mQRQgghhGwZKLIIIYQQQjpgw0WWiFwkIl8TkVtE5I0bbU8X1M/suldEbvSO7RWRT4nIN+rfp9fHRUT+qL4fN4jIMzbO8tkgIueIyKdF5GYRuUlEXlsf3zb3oAkcE1v/+8Ax0QyOia3/fdiqY2JDRZaIDAH8MYCLATwFwMtE5CkbaVNHXAHgouDYGwFco6rnAbimfg9U9+K8+ucyVM/+2uwsA3idqj4ZwLMB/FL9OW+ne1AEx8S2+T5wTBTCMbFtvg9bckxstCfrmQBuUdVvqeoigPcDuGSDbZo5qvpZAAeDw5cAuLJ+fSWAF3nH360Vnwdwmkw+mmLToap3q+qX6tcPAbgZwD5so3vQAI6Jii39feCYaATHRMWW/j5s1TGx0SJrH4A7vPf762PbgbPc4yXq32fWx7f0PRGRxwN4OoBrsU3vQYbt3Pdt+X3gmMiynfu+Lb8PW2lMbLTIEuPYdt9TYsveExHZA+BDqJ5TdjhV1Di2Je5BAdu57zG27D3hmChiO/c9xpa9J1ttTGy0yNoP4Bzv/dkA7togW9abA861Wf++tz6+Je+JiMyhGjh/rqofrg9vq3tQyHbu+7b6PnBMFLOd+76tvg9bcUxstMi6DsB5IvIEEdkB4KUArt5gm9aLqwFcWr++FMBHveMvr1dOPBvAg85VulkREQHwZwBuVtW3eae2zT1oAMdExZb+PnBMNIJjomJLfx+27JhQ1Q39AfACAF8H8E0Av7HR9nTUx78AcDeAJVTq+5UAHoFqpcQ36t9767KCaiXNNwF8BcAFG23/DPr/g6jcuDcA+HL984LtdA8a3i+OiS3+feCYaHy/OCa2+Pdhq44JPlaHEEIIIaQDNjpcSAghhBCyJaHIIoQQQgjpAIosQgghhJAOoMgihBBCCOkAiixCCCGEkA6gyCKEEEII6QCKLEIIIYSQDqDIIoQQQgjpAIosQgghhJAOoMgihBBCCOkAiixCCCGEkA6gyCKEEEII6QCKLEIIIYSQDqDIIoQQQgjpAIosQgghhJAOoMgihBBCCOkAiixCCCGEkA6gyCKEEEII6QCKLEIIIYSQDqDIIoQQQgjpAIosQgghhJAOoMgihBBCCOkAiixCCCGEkA6gyCKEEEII6QCKLEIIIYSQDqDIIoQQQgjpAIosQgghhJAOoMgihBBCCOkAiixCCCGEkA6gyNpCiMhNIvLcjbaDkD4gIs8Vkf0b2P63ReRHNqp9srkRkceLiIrIqH7/cRG5dB3a/W0ReW/X7UTanujzVoAia0rW6w9pyRdfVZ+qqp/p2hZCShCRz4jIIRGZLyy/rn9g67YO+O2JyEhE7hURXQ8byOam/vt/TEQerr9L/01E9nTRlqperKpXFtrUyZxU/+OiIvLh4PjT6uOf6aLdzQxFFiFk5ojI4wH8EAAF8OMbakyaBwBc7L1/AYBDG2QL2Zy8UFX3AHgGgO8D8JthAanYKvPtfQCeIyKP8I5dCuDrG2RPr9kqH3ovEJH/TUT+XkT+oP4P/lYRudg7/xkR+c8i8gUReVBEPioie+tza0Ib7j8SEbkIwK8D+Lf1f0z/FGl//B9M7fn6gIi8V0QeEpGviMh3icib6v/U7xCR53nXvkJEbq7LfktEXhXU/WsicreI3CUiP1v/1/Kk+tx83efb6//m/l8R2TWr+0o2JS8H8HkAV6D6AzxGRHaJyFtF5LZ6HPx9/X35bF3kgfp7/v2hB9cIoSS/twW8p7bVt/vdgb3RNkTkDBH57yLygIgcFJHPWZOpiHx3/ffgpQ3tI5sEVb0TwMcB/Etg/Pf+90TkHwAcBfBEETlVRP6s/lt6p4j8JxEZ1uWH9d/R74jItwD8qF9/Xd/Peu9/zvteflVEniEi7wHwWAB/XY+hX6vLPltE/rH+nv6TeGklIvIEEfm7up5PATgj09VFAB8B8FJnN4CXAPjzwN4/rOeZwyLyRRH5Ie/cM0Xk+vrcARF5m9WQiPyv9bz2LzM29RaKrNnzLABfQ/VF/X0AfyYi4p1/OYB/D+AxAJYB/FGuQlX9BID/E8BfquoeVX1aoS0vRDWJnA7gfwL4G1Sf+T4A/xHAf/XK3gvgxwCcAuAVAN4uIs8AgFrk/R8AfgTAkwD8L0E7/xeA7wJwfn1+H4DfKrSRbE1ejuqP7p8DeL6InOWd+wMA3wvgOQD2Avg1AKsA/lV9/rT6e/7/FbQT/d4W8hEA/0pEThOR01B53z7aoI3XAdgP4JEAzkL1z9BEqLEu+0kA/7uqvr+BbWQTISLnoPKE/k/v8M8AuAzAyQBuA3Alqr/7TwLwdADPA+CE08+h+p49HcAFAH4y0daLAfw2qnF2Cipv8f2q+jMAbkftXVPV3xeRfQD+B4D/hGq8vR7Ah0TkkXV17wPwRVRz1u8i+Kcowrtx4p+T5wO4CcBdQZnrUM0Je+s2PiAiO+tzfwjgD1X1FADnArjK6OMrUM0tP6KqNxbY1EsosmbPbar6TlVdQTWgHo3qj6/jPap6o6oeAfAfALzE/SfTAZ9T1b9R1WUAH0A1EbxFVZcAvB/A4+uJBar6P1T1m1rxd6gmBfefx0sA/DdVvUlVjwL4HddALSB/DsCvqOpBVX0IlSDkf+zbFBH5QQCPA3CVqn4RwDcB/FR9boDqn4zXquqdqrqiqv+oqgtt2sp8b0s4DuCvAfxbVN/Zq+tjpW0soRrjj1PVJVX9nKr6IuuH6jovVdX/3qaPpPd8REQeAPD3AP4O1d8/xxX1381lVGLjYgC/rKpHVPVeAG/Hib+VLwHw/6jqHap6EMB/TrT5swB+X1Wvq7+Xt6jqbZGyPw3gY6r6MVVdVdVPAbgewAtE5LGoQpz/QVUXVPWzqMZDElX9RwB7ReRfwPD+1mXeq6r3q+qyqr4VwDyAf1GfXgLwJBE5Q1UfVtXPB5f/MoBfBfBcVb0lZ0+fociaPfe4F7UgAQA/EfIO7/VtAOaQd8+25YD3+hiA79Tiz70f2yYiF4vI5+uQxwOo/iNzdj0msNt//UgAuwF8sXZFPwDgE/Vxsj25FMAnVfU79fv34cR/x2cA2IlKeE1N5ntbivuv3JwsMm383wBuAfDJOpT4xuDynwfwj6r66YY2kc3Di1T1NFV9nKr+oqoe8875fysfh+rv/d3e38r/CuDM+nz4dzYmmgDgHJSPoccBeLFrs273B1H9c/AYAIfqf/pL2vV5D4BXA/hhAH8VnhSR19XhzAfrNk/FiXHzSlTRj38WketE5MeCy38VwB+r6oatDp4VW2aZ5CbiHO/1Y1Ep+u8AOIJKrAAYx7l9odLZaiepVn99CNUk81FVXRKRjwBwYc67AZztXeL34TuoBNtT65wEso2RKrfqJQCGIuL+4ZgHcJqIPA3AV1B5is4FEOYWWt/xiXEB4FFeW7nvbSmfQzXhKCpvxLmlbdSe29cBeJ2IPBXAp0XkOlW9pq7i5wG8QUTerqq/0tAusvnxv9N3AFgAcEbt2Qq5G2vnhxh3wPueJtp0Zd+jqj8XFhSRxwE4XURO8oTWY406LN6D6h+Md6vqUT8rps6/egOACwHcpKqrInIIJ8bNNwC8rPZs/xsAH5TJRPrnAfiEiNyjqh8qsKW30JO1/vy0iDxFRHajyov6YO1d+jqAnSLyoyIyh2qFir/0/QCq8F4Xn9mOuq37ACxLlaz/PO/8VQBeISJPru0e51up6iqAd6LKUzkTAERkn4g8vwM7Sf95EYAVAE9BlY9xPoAnoxIyL6+/L+8C8DYReUyd7Pv9tZi5D1Vu1hO9+r6MKmfqsSJyKoA3eedy39si6vDeCwH8eBDqy7YhIj8mIk+qw+aH676veNc/BOCiug9vaWob2Tqo6t2oQs1vFZFTRGQgIueKiMtxvQrAa0TkbBE5HUDoFfX5UwCvF5HvlYon1YIJqOYKfwy9F8ALReT59XjbKdVCq7PrEOP1AH5HRHbUof4XFvbnVlT5ub9hnD4ZVe7ZfQBGIvJbqHLHAAAi8tMi8sj678ED9WF/3NyEatz8sYj0eXVyFoqs9ec9qFZc3YMqbPIaAFDVBwH8IqrBcyeq/+B9V+kH6t/3i8iXZmlQ/d/4a1AN8kOo8meu9s5/HFWC/qdR/efiEpJdHs0b6uOfF5HDAP4WJ2LvZHtxKar8vdtV9R73A+C/APh3Uq0KfD0qj9Z1AA6iSm4d1OH13wPwD3VY49l1/shfArgBVXLuOK8p971tQp03c5NxPNfGeai+7w+jGhd/osFedar6AIB/DeBiEfndNvaRLcPLUQn3r6L6Pn0QlRcVqP5Z/RtUHt4vAfiwVQEAqOoHUI2V96ES8h9BlfMFVLlcv1mPoder6h0ALkG1KOM+VJ6tX8WJ+f+nUC3YOgjgzTBC5gk7/l5Vw4R31P34OCrnwW2ovNd+KPQiADeJyMOokuBfqqphLuQ/oVoI8E7xVulvNmTtP26kK6TaqO29qvqnG23LNIjIkwHcCGA+4vYmhBBCtj30ZJEiROQnanfy6ag8D39NgUUIIYTE6UxkichFIvI1EbnFWHFDNh+vQuVq/iaq2PkvbKw5mw+OCUJOwPFAtgOdhAvrlXFfR5WHsB9V7sXLVPWrM2+MkE0AxwQhJ+B4INuFrjxZzwRwi6p+S1UXUW18eUlHbRGyGeCYIOQEHA9kW9DVPln7MLmSYD+q1QtjROQyVI8bAKpHbBDSG1S16V5LORqNiSGG37v7xIpnQjaU4ziCRV2Y5ZjIjgeAY4L0l9Ix0ZXIshqeiEuq6uUALgcAqR74urYSEagq3DkrtOmfc+X94wCwurq65lhgy5r6ZkXMdqudsEzYF79/G03KFuszSNWTqsMxGAygqlhdXW38GZV+h2Jtz4hGY+IU2avPkgu7sIOQxlw73lt1ZmTHA8AxQfpL6ZjoSmTtx+TOtWdj7cMjk1jCwp+83cTpT7qWWHICy50PxYGIJCdtf4KO2RnaZ50LcXbHyoRtdi2wYvXHxKv1WYSfR1iP31Z4PHefV1dXW/c/ZX9J2zNi6jFByBaC44FsC7rKyboOwHki8gQR2YETD14txvLq5ARRWD4mGhw5L0quPX/CbioA3MRfIrBKbfIFS6ze1LWh+PHrGAwGphDz2/QFbapPYd05u337LK9Tyf1P9T3l5ZohU48JQrYQHA9kW9CJJ0tVl0Xk1ah2fR0CeJe1m7JFTLhYnh3ruGdD9HzOK2RNyGFYEkBUVOSEYM6LYnnu/HOx0KN1T3KeNr9e54VKeeTCEK5FiXfO70dpWNH6PlhesVj/U3TtzZpmTBCy1eB4INuFzh4QraofA/CxFtc1KhtO+qFXIlZfLqcoNenmbEwJp9L2XRm/fHguFWqzQqNWOzHPVM6eWJ9Ce2LXtg1/5oRQzMam13VB2zFByFaE44FsBzoTWdOSyxFyZfzfpfW6n5WVlYlzMc9RzrtjUSIgrHascyn7Yu2V3JMmIifsb+hVahqGbcMshFLXuW2EEEKIo7ciKxZSi4XxYqEuq95YOM7yxFjHwveWdykkJVLCfsUSw1MMBoOicqVY9lj3Oid4rXynpt5Ky57SOmI5XG3qIoQQQprQW5Hlk/JQTOMdySVCl7QfnrdEheXpiXnNYtfkyAm4Ek+TO5fzWuU+j5hILMlVC0VteI1LwG+62jDVPoUWIYSQLtiWD4i2hJB13pHKU0odiwku99tN7invyixyhWICo03dvp3OexbW5frjhFCJN05EovW59+E9a2Jv7DMP7aTYIoQQMis2hSfLYYmFktyo2ATbNLE99LJY+VptxFFMAE074Zd65HKhzBipa1L3umRhQHidOx/m0TW1kxBCCFkvei2yShK9LU9F6QpDv642ieIl4cbSUGNqBV+Y/5SjrcCbVgiFx0rz6lLkPFE5SsRq6DmkKCOEEDILeh0ujImr0uT2tjlXTZLnw3qmWTmXsquNQLHqSR0vzdsqqdudm+aehLbF7nnMjqYJ8rOwkxBCCHH01pNleW9Kwn5+mZgXpMSz4co1aTO0vQmhpyfm2Yo9tsZqM5W/FArRnBfLssU/lvLEWa+tvsb6ESPM92oilpt4BgkhhJA29EZkNckLKpkcp030zoUGU5P0tOGm2PWW6CtJ4ner8cLjYXvTiMOcoItdl8rlStkzjUhqsuKREEIIaUtvRFbf8mBKc6lS55r0aVZhQKvNmPfLurat0Epheava1Gt5GP1yXeSsEUIIIW3pfU7WZpwQc3ljbQVlLkfL8gqFIcGch680pNqWEnEaI7yvfv9y+Xup+xQ7RgghhExDr0WWv3eRP/mXJL/3nbA/qTIl9aQESqqt0hWSTT1cYVtWXlwqVFhaZ6mHLice265eJIQQQmL0JlwYw8qbiYWNwnNtCesvyRdrkt+TEzYx4RQLu6XEh398MBiY3iC/rpSYahJyzHnMYjluudyykvb9a8L8K+uzDO2i0CKEEDILei+yYiKqNPndmlBT3h9LCPhJ406o+PWV2hNSmrwelo+9zx0Pk99T11pJ9iXkRG+TlYsp+9w1pasTrb607SMhhBBSQu9FVowSgRELWfnnmyz7ByaFSi6/qCQhvJTQQ+TnI1neKGtFYRNmlQtXGp4sravk87I8U9b3IOcpJIQQQqahdzlZs57kwoTnWaxyy+WETePVip0LxVUqx0hVpxJYbeyL0fQei8j4IdBhHU3yr8L7lKtjGo8kIYQQYtE7T9asJ7kST0osbGTlKaVyg3J5RWFbObt8e0oStsO6fZtLEuTb2Jc7Vyqac1sy5FZRWnWF4dyYF4whQ0IIIV3QO5HlaJJIDuRzcXLX5MRYSrw09YJYYijlYSnxIuVChTnxlbKvLSXJ+LG2w3tbIqRSn2EubEwIIYTMml6JrNSk787HaDpRtglxWXlRJXleubqbiskUsVBm6bGm9sRssOoLBWlJPlWbdlLlmXdFCCFkveiVyAq9StOu3gspDZvFxIAVNpzVhB16ZFJhyVLCpO/Q45MTtf41MVubnPPrjgmsXHjUsrEU5lsRQghZT3olsizC1YIhTVfoud+p0JUVZsqtbJt1eC1mW2lulWVXLGcrd12Iv41F6vpZehdj/Z5VaJMQQgiZNb0XWQ5rkrW8NLlrw0k5Jqh8nFcpFyqchibJ6TEbU3VaZdz7wWBgrka0PGCWeLIWBYSfjaqu2Qy1Tc7dYFAtiHX2Wp8pIYQQ0gd6t4VDG3ITrD/5N52MfXHVxDNTEvZKJden6mx6Ltauu6bpJqWuDrfVQkr4xsKuqXCjw9rKwco5a+PVm6YMIYQQUsJUniwR+TaAhwCsAFhW1QtEZC+AvwTweADfBvASVT3UsN7x6xIvRTgxh9eVrtAL23cTeixfygplWnlFsT6UhipjAjHnUYr1udTzExM1YduWaCoJx66urq65zv/8rPPhPY/11fr8S+7HtDl2XY0JQjYrHBNkOzMLT9YPq+r5qnpB/f6NAK5R1fMAXFO/XzdCz5P/40hNuCkPiy+aYrliJblKTcNkbfAFSInHLCfgYm3kBGppHW2EaGnyferz6SjU2KsxQUgP4Jgg25IuwoWXALiyfn0lgBeVXBSblP0JNebl8cusrq5O5OtYXo6YEEjVHwo3Hz9slguDxYRJifCxzlvXxsRlCsszZeVOWflp7p43EVZWXWEdKc+T1V9HGGb0CT/73Oc2I1qNCUK2MBwTZFswrchSAJ8UkS+KyGX1sbNU9W4AqH+faV0oIpeJyPUicn39PjnRxcRJ6AXx67HCZyVJ11YZK2yYC6OFtsZITfQlYc5Y/937mKhpYmfKttw9aeKhyoVYY1ifVSlNy+eqwwzGxBIWZmUPIRsNxwTZtky7uvAHVPUuETkTwKdE5J9LL1TVywFcDgAismaGi+XZWOVKyviCwPdgAGtXqln1loq0mD0xj1msjCNckefXEYbNfLFj5Rg18TKF9Vnvc+dS/YvZmgsFptop6Vfs3s/QkzWTMXGK7J2Z6iNkg+GYINuWqTxZqnpX/fteAH8F4JkADojIowGg/n1vSV25kFcY2imdFLVOoA4neKtedy41wcfCczlvTc5bFYb33GtnexNPX6qNNpR42XJhvvAe+fc+9BKmSPUj9f2wvJlWvdN6tGY5JgjZCnBMkO1Ma5ElIieJyMnuNYDnAbgRwNUALq2LXQrgoyX1pTxIuXBUU0rqyHlMSr1sMeGQ6ss0Yih1bpZ5RynPnDtvCVtLCMWEa+4+tOlPGEptI9wTdc90TBCy2eGYINudacKFZwH4q3piGgF4n6p+QkSuA3CViLwSwO0AXtyk0lxOUywvK1dXqpyVC2SFwXKhppinxpq8m07osbpy4c1UfW3s8OtPvS+5ZlpiQjfX95wYnULIdzImCNnEcEyQbU1rkaWq3wLwNOP4/QAunKJeAM1znkoIvRju+ly+lB9qKrHdvy5WLiW8YrlL1nVNhYslILsklnvVJDzYRpA2rXNKceXq7WRMELJZ4Zgg251ePlYn9AxZ+Tz+eR//nB+iipULr0klbsfsjJ0L2y8VN208X6Ht7rX/nMFc3lYXiMh4YYG/uWguvyxXxj9f4v1MeSRTdRBCCCFt6Z3IinmqSkN/4XUl3iTLw5VKkg7rsERgTOBZoitsO9WXpiLBCZuNEBFhuzmhE5ZrUneMVDJ+qjwhhBAyLb0RWTnhYYkTywOV827E6grbCT1iqTqtCT/1vs1EHhNWqbBqeJ9iyflWfdb1JXlxlsexBHefQ1EYqy8m3nxi/U0J6I0SpIQQQrYevRJZpZObJQRKw1+hMMnlOJWKtpiN1vGmk3jM3ib9D8Vjrh3reKqtJuHHmGCMicEmuXD+sdxnORgMJh6OTXFFCCFklvRGZPmTnUXpJF7iVfKPl4iTkjbDa2KCJJZkn0sGj3nxUnZbXsCSkGTMzpwnscTrF6NpPlxJfan309RNCCGElNAbkQWsFQPO0+AnTIflw+tKBJYlCHKJ2JYIKBFEJflUqbr88y6cFqsnlvyess+6viRnrI3HL2XvrAVPymtHcUUIIWQ96I3IskSD/7gbIL/1Qdt2YoSCJSeUrGtTwqSUJqHQXD0xURPLffL73CQnrVR0We2WhFSbLCAozRNr64UjhBBCLHojshylScklgifmmQkFUJP8qSZhS7+tpu2E5VU1G1LNEXr+cp4u61qrXyVhPuuzSuVglXj2YvaGoVfL4xmDAosQQsismOrZhbMkFzbK5RLFyoeiLQwVWvXNMoTl2kq1FxNPlpCJCdDUtU3Ol+aQxWgbDm1bNqRtYv9gMJi6bUIIIcSnl54sh++RCMVFadjOrzPmyfLrDF93OenG+haz2Ym1Ejvb2p0SKan7lgu1pcSa9ZnHysbaTZ23PJfhPaQHixBCyKzpnchKiZu2OTOx1XW5ybc0tJRbuZYLE4b9slbzlYbprH7EypTWl7omtLFNvalyKfFZmhuXEqYUV4QQQrqiVyKrZMWcX86aPHNhxZjgCuu2cpCaiDD/ulAkxfKJUmFFq94wkT0lQi1xmfKIWaIpJoJyieVtvG8xb5l/bUneW3j/c/0hhBBCZkWvRFYbD5WPNUm39VqUemRiItAKb/r15uzJeWos0ZAiFCLux20JkaLJvUt555qEYEu8Wrm8MuseUlgRQghZL3olsnLEPBcxD1M4wcfCb7m8nrBOv76wXV9cpQRQzN42YTbLvhQleU/+MX8rjbD/Vt0x20OPV9O8sVKx1/S+UXgRQgjpgl6LrBLPRRgOcsdyoahcjk5TT1HOTutcEy9ULiSXaiuXMxYr48qlPHglgi4mZJoKrVJPYlPo7SKEENIFvRZZTSbQlPcoFE+xcJb/O6w3dcwXEjFhU5pXZlEisFJhy1ydOWJlLY9eStz678M8qdznE6NUtJZ8LvRqEUIImSW9FllAuQhJCQzLa2UldrvrwrL+8ZgAyIm8WD9ijwzySYXoUuG52LmmYbqYTa6uEmFSmiOX60/qXqbsSAnFkusJIYSQpvRmM9JSSkJfsWOpenKeJ/d+MBhEQ2h+WT+5vCkpr1doa9hOSkwMBoNo/lpYX2iHZVOurpgdrr7c/Ynd46beTUIIIWQj6L0nC8h7G8LE8ZwQi3lDcl6ZWMJ4SbJ6iQfGElNhCDLVx1RoLmZb6JkLnxfp1xW26/cpde/cg75jdpZScl0Yhiwpb11LCCGETMum82Q5QuGVSpJv4unKTbK5dmP1xwSa5fEKRVHoqcrlK5WEB8P7E2vLP9/G6wSgaJsIi1KvZe6aEiiwCCGEzJpNK7JCYmEzy/OSIhbq84+V1NMk/Biez+UPNW07VqY0qTzX3yZhwlg7KQ+lb0sJrr6cCA0/X0IIIWSWbBqRFZvwXa5R6romE2hMXDl8r0xKhMW8Z+HxMDzXNJE9J1BifU/dF8trZvWj65ynlHcyheWJs84zZ4sQQkiX9E5ktQntla5u80VKLvcqVU+Jd8wKtZV40XKEAid2D1JiLXXfUh64WFixJI8t5wlrG4pM1ZnyxFmfIyGEEDJLsiJLRN4lIveKyI3esb0i8ikR+Ub9+/T6uIjIH4nILSJyg4g8o9QQyzvkH/faLqpPRDAcDsd1lHqBrBlmc+oAACAASURBVPyoJrlXoZ2xXKuYKMp5oGIes5L7MhwOJxLVS22L9TO30KBkQcA0NBFOuT41sW+9xgQhmwWOCUJsSjxZVwC4KDj2RgDXqOp5AK6p3wPAxQDOq38uA/COUkNiE3UoKEonQ1XFyspKcVnH6urqOCRo5UmVJpWH1/o5WKGXq9TTZRETpVZ9KysrUFUzvJprOxR3YZulni0f/160bTu0o8n3w9Xt/y68/gqsw5ggZBNxBTgmCFlDVmSp6mcBHAwOXwLgyvr1lQBe5B1/t1Z8HsBpIvLoJgblQjhNc4Finp5w0raEkSUcmgohfxK3xFZbcWW14b8u8dJZ1zc55xMLJab6F8tva0LTkF9TD57Feo8JQvoOxwQhNm1zss5S1bsBoP59Zn18H4A7vHL762NrEJHLROR6EbneHWvjiTDqzR7LiYqmQiRVtmmYMYV1TegZy12fClX6ZcJzbcRg7D7kbCilbUiyi9AlZjwmlrDQhY2ErCccE2TbM+vEd2sWNmc0Vb1cVS9Q1QvGFycSylN5RP61rlwYEgvFQs4DEnpjcli2WJ4ySxg09cz514TeoFRduXNhflVObIZh3NiPb9s0fW/aJ8vmVG7WLLyKVvPGseyYmMP8rO0gpC9wTJBtQ1uRdcC5d+vf99bH9wM4xyt3NoC72jQgXuK6ex++Did4nxJB4ZezBFxbz4gvVnL1WyIsRSrs2fTa0H4rPyllX1N7cyKmqcAp/XxK8s1mQOdjgpBNBscE2fa0FVlXA7i0fn0pgI96x18uFc8G8KBzF+cIJ+zV1VUsLy9Hy/uiwkrEtrw7Kc9M27CTJTpU1UyeT4U4cxO9L3hiuVypRPKSEKlln/84HN+WnMCK9SnmfWzj0StpD5jsQ2myfQtmPiYI2eRwTJBtT/bZhSLyFwCeC+AMEdkP4M0A3gLgKhF5JYDbAby4Lv4xAC8AcAuAowBeUWpI6J3yCUVSSjSl6o5hCSGrjZgIGA6HY2FV0oZVbxhaDMvE8sosr1mq/VTZNrlosXpLPiPLg5byCoZlUqHj2L2YRYhyvcYEIZsFjglCbGTaCWcmRoio99o/DhEZi5fUxG1N9qUirGleT3htTLiU2DkLSkKFufKlosgSNpZALK2jlBL7SgRxg/OduLtKOUX26rPkwo00gZAx1+o1OKwHOSYIqSkdE1lP1noREyRWeMk/b13jvy6Z0JsKhFSidMzrEutDjjBMOAuRFssZa3qtf92s8qNibZVc1yaHzrqnffjHgxBCyOanNyLL0WTSn4WIsa7NhZtSeU/u2qbepVR9FtYzD1N25cJwFhslNvx76L+PkcsNi9UfXtvWy0YIIYRY9O7ZhanQUy7EVeLpipFKUA8TzkvqidXXJFfIqiu0w/L2DQaDiS0sUm1abbkfy0s3KxGSCqXmPvem3q3UggP3e5Z9I4QQQoCeebJCsWB5NKyy/uScShZ3x1JiJmwrXPlW4j1LeV5i9cfszYm2kvJNyHnxwrIbQSgIS6+xvhsUVoQQQrqiVyIrllRtvZ8mp8h6bdWR8iSVtmGVD4VMqi+5EFYql60kh8uVs3LNckn9lm2lYchY3bEcvFhbpeTyrSi2CCGEzJpeiSyLVOK7f6zEGzRtEnVJ/pN/fUrYWOVSImIwGGRFny+sSvsa8/yV5DmlPo/ctSkxZdVT8tm3pbTfhBBCSBN6K7KaJo43ERMxL1lMWJVM+H7dTXK3SkSh6uQeXDExVir8miS9l3jRUvuD+eXcRqCrq6vRzzf3uTf5XqTy1hzhZ9/0e0cIIYTE6F3iu0+b8FDOU5K7NieQwpCaVUepnSmB5V7HcomsNnLt5rxbYdJ77l6W3NdQ0IRisWmeVNPvgPV5hf2hqCKEENIFvfVkOUqTypuEDdu0Gx6L5VRZSfVWXS78FxMCVtslid65BPlSL1gu5Og8Ur5tqXZcnbkwqnU+JYQsD1TqO5AK+TIvixBCyCzpnScrFyoKJ/6SlWZNk+NTtqXEQ2hjqk33bMMSSkJo/pYN/nF3LuV5a5Kr5rBEVYknsElYN9ZW0zpjZa3PzbqPhBBCSBt66ckKvShuIrQ8JynPRHh8FmGhpnXk2i8RCE2EZ5swYqpcblVfG+EaXl8SsitJiE8lsMdCiFZ4lhBCCJkFvRRZjjB8VOIhCSdO6/164+c4Wba0EVpWfy3BWSoyfS9O+KzIsJ4wNJcTSrnPIGejdb6pRyy0N/WaEEIImQW9FlnTeknC9+sxiVoCxLJrVrb5omMwGIzDkLncLKueWJI9MLmFhGVvqo2U+PLbjjHLMG/s86DAIoQQMmt6I7JmGaaJeXdm5bkoEU7hb+v6JjgvUyoBPpbnFd6PnCCy+tfFirzUIoFYP9rcu1QYkR4sQgghXdEbkeWYxYRnhblSYcSmbZbkDzXxmMQm+lQSuDvnnlPoVvstLy8X2evfl/B4LDSYqq+UWHu5umfh6et6YQQhhBDi0zuRFaOJx8FKrLZw3qGukp0tsWX1I/S0lPZTRPCoRz0KF154Ie655x585jOfKbLJtyUmMFKeuFi9MbubLD6IlcvVX2JfSRkKLUIIIbOiNyIr5slpmuicW4Hofk8b8mo6IafKNvGMhXWpKr75zW/i3nvvNb1YKVssL1vO82N9Hv79LLknYft+vldOjKW8fiWfZyqBviuxTQghZHvSG5FlUTrp5VbYhY998UNhLsyWqjPWZglNhUdJGT/Ud8899+Cee+4ZHy/FEp7hPUuFMK17HhPFuST5JnlrJd4sSzilhFmYFE8IIYTMgl7tvBjzKpR4elJ1ldbTJEyXq7OkrXByz3m7VldXJ7ZXCAVSk7CZLz78n5I+OFv892H7sTpL7Jsm/Ne0PQosQgghXdEbT1YqT6lNLlauTuuanLALV/ZZuUbhpO3Kl+R/NUkwLxUjsT7kBJXf19h9LAnlts2FitVd4n3KJe5bfWCokBBCyKzpjcgKJ9qSMFvJ5NmW3Kq6UGCVrg6MtRXWn6I0VypVrxVeaypKS2xIXVfqwXNlUiI4lb+Xqn/a3DxCCCEkRm9EFtB8JVsuMT4n1FLtWXlaYTu5ST0lCsI+tLE/1mYsryoULDFBlvIC+UnqKS9QTATlRE3KG5nyYlEoEUII6Ru9EVnh5GutdLMm19hE2zbHJifamraREkql4UnLw5fznlnlSjxHOeFS2v82nqtUnlUsHJsqmzpm2ZWzgxBCCGlCNvFdRN4lIveKyI3esd8WkTtF5Mv1zwu8c28SkVtE5Gsi8vxSQywxEdiRrcPKh7LaSeUzpZK1U0niOZuakAtDhvVa/WkqgGYhLEpsyC0U8D/DpmHU0pDtDELJ6zImCNkscEwQYlOyuvAKABcZx9+uqufXPx8DABF5CoCXAnhqfc2fiMiwxBDLkxWKmZLJMeblsuoNk9hDz1KTyThmb8rzk/KaheHQVJ/aHA9tLhUoKaz+pbxooeC1PFYh1v3wxVj47Ea/jZJE/UKuwDqMCUI2EVeAY4KQNWRFlqp+FsDBwvouAfB+VV1Q1VsB3ALgmSUXNhFQpZ6bUu9XKsHdryfnHbJEVYl3zmo/J/Ji4q2JMLTamXWoLFa3n5PmExOXlhDz+5Cq0683RhPhtV5jgpDNAscEITbT7JP1ahG5oXYTn14f2wfgDq/M/vrYGkTkMhG5XkSuD8+lvBD1tY28QiliuUMiMn4mYKqsdW2sjZhAiImqXOgybGMWAiklZHPkvHbTeJBCD2VMSDXxhFkCb0pmNiaWsDCtLYT0AY4Jsq1pK7LeAeBcAOcDuBvAW+vj1ixlztSqermqXqCqFwTHJ34D9qQa8y6lPFwpQROrq6nYiK1KdPXFPDc5T0uqTl9YlIQHY/WEZZuSC8/6bcXEaKnQzHn5Sj7jlOerBTMdE3OYn4VNhGwkHBNk29NKZKnqAVVdUdVVAO/ECVfvfgDneEXPBnBXk7pTgsMKDeUm25TomVbgxOqMHbNEXhsh5/BFQon9Oc+Zs7XLe2EdTwlll2PVtM1cKDZ8P22+VpdjgpDNCMcEIS1Flog82nv7EwDcipKrAbxUROZF5AkAzgPwhelMzK9ISxGGmZpeH6trlrQRNm3yuKx2rddN257FNbMUvKnPOZbz5Z9r2ea6jglC+g7HBCEF+2SJyF8AeC6AM0RkP4A3A3iuiJyPysX7bQCvAgBVvUlErgLwVQDLAH5JVVdKDEl5pWKhQX9SdF4d57lKTaSxNt37VDirLbFcIKvOXOjOSia37o0VerXqSdlj3cfQS5QTJqnzYR3hvZ82jyu8B7FjQPyh2Ea96zImCNkscEwQYiOzSJae2ggRnZWXKJXY3BYrjyfMg0p5kVJJ35bIa2pTSXu58GoszFkSnvVFcKpcqTcrFwIuKZdrN3f/VLUbt2Uhp8hefZZcuJEmEDLmWr0Gh/UgxwQhNaVjYprVhTPFyhVqE76xkqzd8RIbcvaFAqukjVTboTcud41f3upnU29gCsueVD5VGyEXtmeFQa06UnlVIW6VqP9jebYIIYSQWdKrx+qEWOGbph6MWAJ0iQ2WaEh5aJp6WFJtNz1eKqJKxUXK+2a1PRwOsbq6+v+z9+5RllxXmee37yMz66FSqSjZkkqSJSTZ48da2Mb40QbGjRn8aGjBzNhtGrDGGERPw4B7zMNAg+np7mmGBtOwmmYQbdpPHgbb2NAGIbRsHs3IWHb7ISEsy7ItyZKlKlWVqiqrMu8jz/xxY9/ad+c+EXEz762MzPx+a+XKeyNOnHMi7o2ML7+9zzkTAw28w1d1fSLxMws3sszJmlUbhBBCiKdxIivnntQJW9n9diHjzfapTl/t+ypHKvdgnzbXqU6fonLe9SnrS102mnRfFX6cpq5oe1XYMnImCSGEkFnQGJFVN1QH5B2uadmo62ST620fo3ojQVUnPytHnfBZneOnyZuqk7g+HA7XHe/zp3L76rZVl0hAlonKaa8hIYQQUofGiCwfvqkzMq7smDJxU1X3ZokcLp97lcvrsttmiYismzMsJxJzZar2VwmZyDGqI3TnIYJyYpJCixBCyKxojMjK5T3VDSPmBERKCa1W/fz+OqGjssT6KJzpHZuq3KSyPkR5Y3XwotSL0M0IO1tXrn9eZE6Tv1ZVJjcgwffNUseFJIQQQjZDY0YXlhGFyNSZqXIk/MO0KtE5F96y+32f6jgzuRFwZblMdcRF1Iey8tPkH9XNs1IRmxOf8w7PWYGXy4HL4fvJvCxCCCGzojFOllInh0kfjDqiLRee8+Wj997hKeuXLR+5abn+RnWV1RPVmQu1VfXbUyYCN5ofNe35VzFPN2mWDh4hhBBSRuNEFlB/WP1GHsR1XKONPnitw1ZVT1l4sUoU+rpnca3qCMO6bdWh7DPeSBK/paxeiipCCCEXikaKrCrqjtyrEiRlwipyPKKE+SihfZoHeR1nKto+jRCNcsL8OeWOs8f4fuT6ZY/JuWZ128zVnzunHGVuJ3OwCCGEzIPGiaw6D8s6CeF2e51E8ihZXdvT99G2KOk7Jy5s+3YairIcMHvedbZF5+XbyImlqM4yMeJzvLz4zYlhncMsuo5lIdOor1U5cpdccgmuvfZaPProo3jsscfQ6/UmypQ5iIQQQshmaGzie+6BVyaUypLVq3KnrCDIOVXRtlyidVkSdp2cMf9j291IeLBMaPpzjkKY/tjo/P055a5lWTh0GsrCgimNRpVeeumluPLKK7GwsIDFxcV1ZQghhJB50SgnK3KdrGCpK7z8MWVOk29vmrBhjs08vKvcm2nqL3P9fB12hvyc+5cTYlVuYa7fZeG6ujlgtpydqqPb7eKKK67AkSNHcObMGTz44IMYDoelwjHXT0IIIWQjNMbJss5CWdhummPrlC/bZtu35TZab+SW1XFUIkcrR855qzoHP0rT1zNtuNK3WxaWi0R0XcfOunv2Gh08eBAvetGLcNFFF+HcuXMTDuI0OXOE7CRuffiTW90FQnYVjRFZQL3E8ToP9rIwkpaxczvVCcPlQnh2fy5vq0ps5IRk1Keobd9/34YKqKpwahllYUbfnv74xaLL6pomFKrt+N/6s7i4iP379+Nd73oXvvjFL+Lee+/FYDCo5WIRQgjZPcz7H49GhQs9kXNTlgNl8aFCX+dmqOOu+XDnRuov2183nBaVqcoJy5UtSzKf5rpGIeCozjLKygyHQxw/fhzf9E3fhMceewxnzpzJHr+R/hOyXXnZFc/e6i4Q0ijmfU80TmRFSeW5UFOUR2Uf2lVhs2n7VSYI7P5cflNUl6/P9t2PwqsiJ7zqhOF8uM2el9/nzz0il0dXV9zVIfcZ9/t9nDhxAh/5yEdq11En144QQgiZhkaFC62oisJc0zwEo5Fu9v1G++dFYOSylYUEpyG3bFBUZxSy8/2apq2qHKoyqtwhH9qs89lW5ZrVyXGbdjshhBCyGRrjZOXclzqCIqJMZEwreMpcscjdypWLHKFcwneu/3WT333/qyhzcqpE07Qh0Zxo8/XkHDdbTy7HzLcT1T0L4U0IIYTkaIzIivBux0bFw6z6Yd/XcV7KQptl4swKsqq++O1VwsNv85Oi5ur0/avTp7plysKcs86pK7u2hBBCyCxpVLiwLlWj0DYqrHKCp0pklNWVc6SiUGPZqLu6fY5G6eWOr+tA1a2vjFzINifw6oqgqC+5/LEq15EQQgiZJY1zsvSBHs3bFJVVNvrgbLVa47aq2sj1t2qUYVkyfq6NnCDw7tJmxWYuQT8Xxoz6VEbk3NnrkHOrbGi1SiTWFX1VAwIIIYSQWdI4J0sT3qPtZehovKpwmn2tx9htuXCb3Z4bgReVr9PvaZiVGMiFFHOiZSODD+xxvh37Orq2VX319UT7qsKddob4OnUSQggh01ApskTkKhH5sIjcIyJ3i8iPFNsPichtIvK54vclxXYRkV8VkftE5NMi8tyNdi4nXOx+/fEPTC8WolBVSgmDwWCirajOslF3OfHhBcs0jksZOXHkBWZZ3/SYjfarzBEqE6nRNutG5cTrNE5VVFfZ96Bsf0k7W3ZPENJEeE8QElPHyRoAeGNK6ekAXgjgB0XkGQDeBOD2lNINAG4v3gPAKwDcUPzcDODXN9q5nHCpU3azbVmxsFlxNEt3xAsT3Zab7iHXfl1XKndsrkzuM/KOlT92I59fJJC8K1b3OzRl+1t2TxDSUHhPEBJQKbJSSo+klD5RvD4N4B4ARwDcCODtRbG3A/j24vWNAN6RRtwB4KCIXD5Np3KOVVnZjYSyImw7dp6uXJmyPm0WL/TquDpROX99pnGIIrenysmq6put14vGaa7trK6z9q0uW3FPENJkeE8QEjNVTpaIXAPgOQA+CuDJKaVHgNENBuBJRbEjAB40hz1UbPN13Swid4rInXZ7JARyImpWD9hcnRt1oLyYmKafZedaR2DUEZxlx9U5pir0lyvjj5/GKfT92+hnP0tBDszvnuhjdSb9I+RCw3uCkPPUHl0oIvsBvBfAG1JKp0oejNGOdU+0lNItAG4p6h7vL8uPmWXYLcKKhKp2bd7PtPWVYfORphVnXuDUcb3qiMqNhBXL2p7F5+idtWlF04z6MLd74oAc4jwTZNvBe4KQSWo5WSLSxejGeXdK6X3F5kfV3i1+P1ZsfwjAVebwKwE8vJHOWTdro2JlWnz4MRJ9deveTL7RRlw7H3or60dKk6M4N5sbFW0r+/wiV6rMZbJ1lNWVw4dL/bZp2ap7gpCmwnuCkPXUGV0oAN4K4J6U0lvMrg8CuKl4fROAD5jtr5URLwTwhNrFm6Huw9CGGOvUWebkTOsM5dqYhlxStm7PTVNRR4z6fCh7nXICRstvVChGAioKefrPIRcunbY/0Xn5kLTfXqPORtwThDQF3hOExNQJF74YwPcA+IyIfLLY9lMAfh7Ae0Tk9QAeAPCqYt+HALwSwH0AzgJ43Sw6Wlfg2Ado1UOzLDSYc4Xa7TaGw2FlvWXCrKxvORdHieYQyx1b5k5VOWW5c/BiaBpB68kJumhf9H7adsvCoVO6pY24JwhpELwnCAmQWSUAb6oTIqnqAVeW3xSJiVarlU2WrnrY2npz4qOqP3ZNQF+3r3cjuVtR33N9icp6V8uXL7tudZy9nBtV1beIOkIp1wc9fppwaPH5zjcBsIIDcii9QF66lV0gZMxH0+04lY7zniCkoO490ZhldcocDH1IRqGtXOgoEgn2mFxbvo464sU/xG1Yy4b5crleVc5XGXUdHVu+aikhe162jZxoKnOkcn0tE7p2/7QCydcVhSNtfwghhJB50RiRVeeBN41zEgmrXN5RHdfFbq8SZ9G2KnGxEXGV217WVlm4Eci7TRvNT8uJ0eh92fGRcM2Vj5yvOi7aLBxFQgghRGmMyJomnyg6RsXDNE6Y32635URS1Id2uw0RWbdETx2iJHS7PVe+TDT4196Jis6tKj/N12f7UPYZlbmNdcK/kcir66BVia2y0CghhBCyWRojsoDYcar70Ise5jlXI/c+ty2H1l3lDpVRJiYjMTGt0+KF0DTiMef86f46deq10RClp8zZqusQTuMO5rZtJixJCCGERDRGZEUP9GkfdrkH8GbqjOr1TJOYXSaccgIx58TVJec4RY6d71OEJvWXuUPRMWV92whVTlpVWJEQQgiZJ1Mtq3OhmIWT4ENAdR/EG3lg1+1PmVvihWCUI5ZzYaYRkdO4hNG1qZssX6dOG3rcCPb4KretLExYJ+xJCCGETEtjnCzLLFyGunWUhcu0nmkFWs6t8uLJOlRWwEThq1zoLpfTFZ2br6MqD6tKfJSFZnNE+U/2Omzks59GGPsw5zQuJCGEEDINjRFZ/sG3kZBYVUJ4Wd6Tli0TIFFfc/2IyAmRqtyhqlBhVTL3NHjhk2uzrA/TsllxU9dZo6AihBByIWlMuDDnxlQdA8ThniiEVOb0bMSJifqzmVBaVD4SVzmxWNW3KqZNsN9MqC/HLM5Dy+XCiRRYhBBCLgSNcbKUnIMTMW0ieNnowpyDU+aM2eNyfa8SDFGZqkEAdUbNVeV4RaHIXBgt587NM4fJt1knZJlD68mNcCSEEELmQWOcrHklnE/b9kZCY7mRdlF9dZO9bZ6Wb2OavkZtenEX5Yrl2pnWEStjs45VlQBneJAQQshW0jgnq07C+SyJHB3fF9+vyLHy7lNZKLLqvOo6dBu5PmVOYZ1cuM2EVOsI0Gnaq5N/VmdEJCGEEDIPGiWy5imqphE6G8kNq/MgLws/1g17edFQleg/ixwxL0TrHjeLz7OO6KsrturURwghhMyKRoksJRfWqhplV8Y0LkrVCMCqXK3IEbNCLHc+UWJ+5JxF12EaQRWFNzcyQq8Oub5WtV33c46ue90RnFGbFGGEEEJmRWNyspQysbNRgdVqtcJE8M1OczBN2dyUCHUdqahMVT+qku9n7RxWhf+myZNqtVpotTb29dzoqEcKLEIIIbOkMU5W2QOuTjguJ8BEZN2Isqq2tD7rwkzjcuiyM2WCwr5vtVql7osNEWrdvo5cmLDOuW6UnEMVlcm1V+b6lbVb9V2o833yfbgQOYCEEEJ2D40RWRF1xYLu96FFrSOq1x6X21clksrqLnOdytrMUfc61C1j286FHKfJd8q1Oa2Qm0XifR2RNm2dhBBCyLQ0Jly40Tya3PEXMjk7qivKo/LbbdjSizsv1uYlDGbh4mzWEasSkHVHNHqRbX/q9JViixBCyCxpjJO10Qd17sEYuTNVuUl1c6Xq5HNVOWrT5EnVCbPlqHLc6rZRNmpxFgnjPqHf9jHqhx9IUDe0W3XdKbQIIYTMisY4WXWIHJ66xym50Xplx1SNritzTWw+VZmQyYmhuuKlSpzkykYjDcuOyZ1rHURkYhCCr0Nz56pErBdUuf6W1VP3vAkhhJCN0hgnaxr8AzYSKHVGItZ1uHL15pyTOqP6cgnfZdRN/i/r/0YS4SMBF+W/ldVZJpDLlrrxn9E0zpWOTozcTC806+afEUIIIXVpnJNV5WB4F6Qs4XojSdx1+xOFzMqOKRMlVa5QHTFTlzrhsjq5Ykp0TSOx58O30zp00efp+1B2bBUUWIQQQmZN45ysKOSWm4KhTnjL1lnmBJXlcFnXxLtm0wifOmV1Oodp8seiPkZt1xGCVSPzfJ1R3yyRS1VV/0bFZG5QwTR1TnP+hBBCSBmVTpaIXCUiHxaRe0TkbhH5kWL7z4nIl0Xkk8XPK80xPyki94nIZ0XkZdN2yoeWqoRR3QdobnLLum5Yrj/RAz36qcPa2lplovo0/Y2O9+Vzfcxtq0udfChf5yzcuqiNyJXbRN0X/J4gpMnwniAkpo6TNQDwxpTSJ0TkIgAfF5Hbin2/nFL6RVtYRJ4B4DUAngngCgB/LiJPTSkNyxqJnKYyt0XxwqmOQ1P1ILfl7cPa5/P4+vRBrm5Urs2qB3yu/Tp93yw5J6+KyAGKrl1dwVwm0Mr2W8py9jbJBbknCNlG8J4gJKDSyUopPZJS+kTx+jSAewAcKTnkRgC/m1JaTSl9AcB9AJ5fo53S93abdyRsSGqz7ot1dWzidFS3vldxFQkAX6YqXyv3e5ZY8WbFjT1nu60ukSMWnXMkuPx1yrVfFkrNneNGzqWi7gtyTxCyXeA9QUjMVInvInINgOcA+Gix6YdE5NMi8lsickmx7QiAB81hDyG42UTkZhG5U0TuNNuq2l/nGtV5gHvKBI8vU9UP/z7nWEXiw/d3o4Kqbj/tdn9cHVFX57pVoeHQtbW18etc7lSdtqocrxwzDEtegzncE32szqR/hFxoeE8Qcp7aIktE9gN4L4A3pJROAfh1ANcBeDaARwD8khYNDl/3JEwp3ZJSel5K6XlmWzYnSfcXfQn3+VCidUfcuUwVdspRdWxZG5HDEjlw0whP26+UEtrtdq3QqG+7qt2ykN9Gj60r4CLHq+5nWNa27UNd5nlPdLFYux+ENAXeE4RMKv4WegAAIABJREFUUktkiUgXoxvn3Sml9wFASunRlNIwpbQG4Ddx3up9CMBV5vArATxct0N1RUF0XFneU9Vx0wivSNBpXXayzWke2nXDWdMIkcFgEI7MLBOpZW1U9XEzIc4q8ZV7n/vMfOhTy0SC1AvMmv29YPcEIdsB3hOErKfO6EIB8FYA96SU3mK2X26KfQeAu4rXHwTwGhFZFJFrAdwA4G/rdmhaF6QqJBaVyYWm1EUrEyE+18eX8U6cPa5M6OmxddH6fMgtakuF30bduzoOlZITddGP7V8kiPRaW+HqiT4PfV1n+gjrik0hsC7oPUFI0+E9QUiM1HBFvh7AXwH4DAB9av0UgO/EyAJOAL4I4AdSSo8Ux/w0gO/FaMTJG1JKf1LRxlEAywCObfREdgCHwfNvyvk/JaV0aW7nBbonTgP47OZOY9vTpO/EVtCk8+c90Qya9J3YCpp0/qX3hFIpsi4UInKnzc/abfD8d/f5e3g9eA12+/l7eD14Dbbj+TduWR1CCCGEkJ0ARRYhhBBCyBxoksi6Zas7sMXw/ImF14PXYLefv4fXg9dg251/Y3KyCCGEEEJ2Ek1ysgghhBBCdgwUWYQQQgghc2DLRZaIvFxEPisi94nIm7a6P/NARmt2PSYid5lth0TkNhH5XPH7kmK7iMivFtfj0yLy3K3r+WwQkatE5MMico+I3C0iP1Js3zXXYBp4T+z87wPviengPbHzvw879Z7YUpElIm0AvwbgFQCeAeA7ReQZW9mnOfE2AC93294E4PaU0g0Abi/eA6NrcUPxczNGa39tdwYA3phSejqAFwL4weJz3k3XoBa8J3bN94H3RE14T+ya78OOvCe22sl6PoD7Ukr3p5R6AH4XwI1b3KeZk1L6SwDH3eYbAby9eP12AN9utr8jjbgDwEGZXJpi25FSeiSl9Ini9WkA9wA4gl10DaaA98SIHf194D0xFbwnRuzo78NOvSe2WmQdAfCgef9QsW038GRdXqL4/aRi+46+JiJyDYDnAPgoduk1qGA3n/uu/D7wnqhkN5/7rvw+7KR7YqtFVrQi726fU2LHXhMR2Q/gvRitU3aqrGiwbUdcgxrs5nPPsWOvCe+JWuzmc8+xY6/JTrsntlpkPQTgKvP+SgAPb1FfLjSPqrVZ/H6s2L4jr4mIdDG6cd6dUnpfsXlXXYOa7OZz31XfB94TtdnN576rvg878Z7YapH1MQA3iMi1IrIA4DUAPrjFfbpQfBDATcXrmwB8wGx/bTFy4oUAnlCrdLsiIgLgrQDuSSm9xezaNddgCnhPjNjR3wfeE1PBe2LEjv4+7Nh7IqW0pT8AXgngXgCfB/DTW92fOZ3j7wB4BEAfI/X9egBfhdFIic8Vvw8VZQWjkTSfB/AZAM/b6v7P4Py/HiMb99MAPln8vHI3XYMprxfviR3+feA9MfX14j2xw78PO/We4LI6hBBCCCFzYKvDhYQQQgghOxKKLEIIIYSQOUCRRQghhBAyByiyCCGEEELmAEUWIYQQQsgcoMgihBBCCJkDFFmEEEIIIXOAIosQQgghZA5QZBFCCCGEzAGKLEIIIYSQOUCRRQghhBAyByiyCCGEEELmAEUWIYQQQsgcoMgihBBCCJkDFFmEEEIIIXOAIosQQgghZA5QZBFCCCGEzAGKLEIIIYSQOUCRRQghhBAyByiyCCGEEELmAEUWIYQQQsgcoMgihBBCCJkDFFmEEEIIIXOAIosQQgghZA5QZBFCCCGEzAGKLEIIIYSQOUCRRQghhBAyByiyCCGEEELmAEUWIYQQQsgcoMjaQYjI3SLykq3uByFNQEReIiIPbWH7XxSRb96q9sn2RkSuEZEkIp3i/Z+IyE0XoN2fE5F3zbudTNsT57wToMjaJBfqD2mdL35K6ZkppY/Muy+E1EFEPiIiJ0RksWb5C/oHtmjrUdueiHRE5DERSReiD2R7U/z9PyciZ4rv0n8Rkf3zaCul9IqU0ttr9mkuz6TiH5ckIu9z27+m2P6RebS7naHIIoTMHBG5BsA3AEgA/vGWdqackwBeYd6/EsCJLeoL2Z58W0ppP4DnAvg6AP/SF5ARO+V5exTAPxCRrzLbbgJw7xb1p9HslA+9EYjI/yYify0iv1j8B/8FEXmF2f8REfl3IvK3IvKEiHxARA4V+9aFNvQ/EhF5OYCfAvBPiv+YPpVpf/wfTOF8/b6IvEtETovIZ0TkqSLyk8V/6g+KyLeYY18nIvcUZe8XkR9wdf+4iDwiIg+LyPcV/7VcX+xbLM75geK/uf9XRPbM6rqSbclrAdwB4G0Y/QEeIyJ7ROSXRORLxX3w18X35S+LIieL7/mLvIMbhFBKv7c1eGfRV9vvd7j+ZtsQkcMi8sciclJEjovIX0UPUxH5H4q/B6+Zsn9km5BS+jKAPwHwLGD89/7fish/A3AWwFeLyMUi8tbib+mXReTfiEi7KN8u/o4eE5H7AfwjW39R3/eZ999vvpd/JyLPFZF3ArgawB8V99CPF2VfKCJ/U3xPPyUmrURErhWRvyjquQ3A4YpT7QH4QwCv0X4DeDWAd7v+/krxnDklIh8XkW8w+54vIncW+x4VkbdEDYnI/1I8155V0afGQpE1e14A4LMYfVF/AcBbRUTM/tcC+F4AVwAYAPjVqgpTSn8K4P8G8Hsppf0ppa+p2Zdvw+ghcgmA/w7gVow+8yMA/i8Av2HKPgbgWwEcAPA6AL8sIs8FgELk/Z8AvhnA9QD+R9fO/wPgqQCeXew/AuBna/aR7Exei9Ef3XcDeJmIPNns+0UAXwvgHwA4BODHAawB+MZi/8Hie/7/1Wgn+72tyR8C+EYROSgiBzFy3z4wRRtvBPAQgEsBPBmjf4YmQo1F2T8D8H+klH53ir6RbYSIXIWRE/rfzebvAXAzgIsAfAnA2zH6u389gOcA+BYAKpy+H6Pv2XMAPA/A/1rS1qsA/BxG99kBjNzix1NK3wPgARTuWkrpF0TkCID/CuDfYHS//SiA94rIpUV1vw3g4xg9s/413D9FGd6B8/+cvAzA3QAedmU+htEz4VDRxu+LyFKx71cA/EpK6QCA6wC8JzjH12H0bPnmlNJdNfrUSCiyZs+XUkq/mVIaYnRDXY7RH1/lnSmlu1JKywB+BsCr9T+ZOfBXKaVbU0oDAL+P0YPg51NKfQC/C+Ca4sGClNJ/TSl9Po34C4weCvqfx6sB/JeU0t0ppbMA/pU2UAjI7wfwL1JKx1NKpzEShPyPfZciIl8P4CkA3pNS+jiAzwP4p8W+Fkb/ZPxISunLKaVhSulvUkqrG2mr4ntbhxUAfwTgn2D0nf1gsa1uG32M7vGnpJT6KaW/SilZkfUNRZ03pZT+eCPnSBrPH4rISQB/DeAvMPr7p7yt+Ls5wEhsvALAG1JKyymlxwD8Ms7/rXw1gP+QUnowpXQcwL8rafP7APxCSuljxffyvpTSlzJlvxvAh1JKH0opraWUbgNwJ4BXisjVGIU4fyaltJpS+kuM7odSUkp/A+CQiDwNgftblHlXSunxlNIgpfRLABYBPK3Y3QdwvYgcTimdSSnd4Q5/A4AfA/CSlNJ9Vf1pMhRZs+cr+qIQJABgEyEfNK+/BKCLant2ozxqXp8DcKwQf/p+3DcReYWI3FGEPE5i9B+Z9usK12/7+lIAewF8vLCiTwL402I72Z3cBODPUkrHive/jfP/HR8GsISR8No0Fd/buuh/5eHDoqKNfw/gPgB/VoQS3+QO/2cA/ial9OEp+0S2D9+eUjqYUnpKSumfp5TOmX32b+VTMPp7/4j5W/kbAJ5U7Pd/Z3OiCQCuQv176CkAXqVtFu1+PUb/HFwB4ETxT3+ddi3vBPBDAP4hgPf7nSLyxiKc+UTR5sU4f9+8HqPox9+LyMdE5Fvd4T8G4NdSSls2OnhW7JhhktuIq8zrqzFS9McALGMkVgCM49xWqMxttJOMRn+9F6OHzAdSSn0R+UMAGuZ8BMCV5hB7DscwEmzPLHISyC5GRrlVrwbQFhH9h2MRwEER+RoAn8HIKboOgM8tjL7jE/cFgMtMW1Xf27r8FUYPnISRG3Fd3TYK5/aNAN4oIs8E8GER+VhK6faiin8G4CdE5JdTSv9iyn6R7Y/9Tj8IYBXA4cLZ8jyC9c+HHA/CfE9L2tSy70wpfb8vKCJPAXCJiOwzQuvqoI6Id2L0D8Y7UkpnbVZMkX/1EwBeCuDulNKaiJzA+fvmcwC+s3C2/2cAfyCTifTfAuBPReQrKaX31uhLY6GTdeH5bhF5hojsxSgv6g8Kd+leAEsi8o9EpIvRCBU79P1RjMJ78/jMFoq2jgIYyChZ/1vM/vcAeJ2IPL3o9zjfKqW0BuA3McpTeRIAiMgREXnZHPpJms+3AxgCeAZG+RjPBvB0jITMa4vvy28BeIuIXFEk+76oEDNHMcrN+mpT3ycxypm6WkQuBvCTZl/V97YWRXjv2wD8Yxfqq2xDRL5VRK4vwuaninMfmuNPA3h5cQ4/P23fyM4hpfQIRqHmXxKRAyLSEpHrRERzXN8D4IdF5EoRuQSAd0Ut/xnAj4rI18qI6wvBBIyeFfYeeheAbxORlxX325KMBlpdWYQY7wTwr0RkoQj1f1vN8/kCRvm5Px3svgij3LOjADoi8rMY5Y4BAETku0Xk0uLvwclis71v7sbovvk1EWny6ORKKLIuPO/EaMTVVzAKm/wwAKSUngDwzzG6eb6M0X/w1ir9/eL34yLyiVl2qPhv/IcxuslPYJQ/80Gz/08wStD/MEb/uWhCsubR/ESx/Q4ROQXgz3E+9k52FzdhlL/3QErpK/oD4D8C+C4ZjQr8UYwcrY8BOI5RcmurCK//WwD/rQhrvLDIH/k9AJ/GKDl3nNdU9b2dhiJv5u5ge1UbN2D0fT+D0X3xn5Kbqy6ldBLA/wTgFSLyrzfSP7JjeC1Gwv3vMPo+/QFGLiow+mf1Vowc3k8AeF9UAQCklH4fo3vltzES8n+IUc4XMMrl+pfFPfSjKaUHAdyI0aCMoxg5Wz+G88//f4rRgK3jAN6MIGRe0o+/Tin5hHcU5/EnGJkHX8LIvbah0JcDuFtEzmCUBP+alJLPhfwURgMBflPMKP3thqz/x43MCxlN1PaulNJ/3uq+bAYReTqAuwAsZmxvQgghZNdDJ4vUQkS+o7CTL8HIefgjCixCCCEkz9xEloi8XEQ+KyL3BSNuyPbjBzCymj+PUez8f9/a7mw/eE8Qch7eD2Q3MJdwYTEy7l6M8hAewij34jtTSn8388YI2QbwniDkPLwfyG5hXk7W8wHcl1K6P6XUw2jiyxvn1BYh2wHeE4Sch/cD2RXMa56sI5gcSfAQRqMXxojIzRgtNwCMltgoRUSgrpuIQGRyKpwqR26nJvjrdah7fnrtUkpIKU1cx81eI/+ZTFtn9JmW9S9qr06b9ruUazelNO1cS1VMdU+00f7avedHPBOypaxgGb20Ost7ovJ+AHhPkOZS956Yl8iKGp548qWUbgFwCwCISGq32xMPVSuoWq0WRARra2sAgMXF0fRRa2traLVGZly/388+OIdDO/3GRB8mXnvxZvtgX0+caIXIiYRBVG+EXhM9b49el+hcfB+0nIhgaWkJvV5vXMfa2hqGw+G66587b/t5aLl2u412u41+vz/Rrt1vPwcr9Hz92oY9l7LrZM/N1+lf+3r1/dra2rgeew4zZKp74oAcSi+Ql86jH4RMzUfHc6vOjMr7AeA9QZpL3XtiXiLrIUzOXHsl1i8eOUH0MG232xMPc6XX640FkYqDVquFVqs1IUr0dU7o+Ad85JRpOa3buyv24RyJxDrnHGFFpbZt28iJkJy7Y9s8d+7cuJy9Pr7eTqczcZwVSVaEdTodLCwsjK/3cDicEFb6+tprr8Xa2hq+9KUvja+b/yy0/dz1iT6rSDwpnU4HnU5nLCYj8agC3X+2M2bqe4KQHQzvB7IrmFdO1scA3CAi14rIAs4vvJoleqBah8WLoijEMxwOJwSWPSZqy9bjHSxfJieIcqLKujtWONhjova9wMvhz833M6pDy5SF4Kyo9Mcpa2tr4x9lMBhgMBhMOIL6utPpYG1tDWfPnsWxY8cmhJ0Vr7Y/udBg5FTpvlarNRbmtrz2Lbp2/jsWifIZMfU9QcgOhvcD2RXMxclKKQ1E5IcwmvW1DeC3UjCbsqWOg+DDY5GIsg/+SEBoW1FeUhQKtI6L76t1R6IwVKvVGrs/kQPj68uFIvV1HafFn1cuT8oLRx+SVZcw13d7/HA4XFfWOnwqvh555JF1x6vTpT/2OH9O1tHzeNGnqLjy1zj63HNh2VmwkXuCkJ0K7weyW5jbAtEppQ8B+NAU5QGcf9jb0JU+iIHJB6EKGRU7ZQILWC9UqlyqsnCV9iu334fXOp3Oum1lRM6Nb7+qrzk3yP62TpL/8cdZIelDfFVOn+bPWeGp7weDwUQb6gLq9YrcuciN833woUd1Fm17kTM2L6a9JwjZyfB+ILuBuYmsadGHnoZ7ojBXlDgdOTc+NyrnaJXhhUNZzlO0z4u5nIsWnWd0bar6HJXJ9cf2WZ2jdrs9kbMUnZ93/uz1j+qOQpa+Dhve9agAU4bD4TrHLboOURn9PLU+7+JpX+YpsgghhOwuGieyfEK03WedE31vR8V5h8o+aKcJBemD2j7kbehL33vh5LflHJgojKj4Y7yLpNenKuzoHRofivMi1CeF2zZy7l/0mfm+aB0q4mxZbdN+rlWfl92eE6T2tXc7/chBfy3tZ0MIIYRshsaILCCf0O5zhew++9oLnDJnx7fh+xC5GrnwoRcskdixfYuEgt9up6ewbXuR5PugZX1Cee78vRiKfueEoH2vbdpjbP81TOeP9wLZb/dt2akiou+G/ww6nQ663S4OHDiA5eXlicER0bnkviOEEELItDRGZEUPTOtARGLGJsL7B6cXOjrKL5cg7ftif4uMRsjZXB7/MPbOjx9RGImGsvCi/e37WxZ+zIUc/XG23bIQWZk75l/7z8B+bjovVxTqi3KqctdZQ37RZ6T4kPNgMMCJEycmvjNRuDYSlIQQQshGaYzIsvNc+VyrKDfKv4/yf/R9VZ5TJJj0WBVLg8EgDLf5+qJ+lD24tQ2bA2bzo6LQnT/eb+t2u+MRf3VEg5+Hqy52dGXZ+ZX11ZfNhYZtGDG69l6weifOjmKM6vD1EUIIIZulUSJLH4bA+oezlvFuTRRG8yIpGtUGYOxuaR2dTgfXXHMN2u02/v7v/35i/qTISbOiwOZYecFl8Q6UdeN8/f68dJ+fAFX363n1er2s4NOyPsQXhR+t0MuJu1wb9vqXEeVxRe1EZaPviIiMnayFhQWsra2Nw5StVgudTgf9fn8idBl9toQQQshmaYzIsgnduTCa32fLW7FShhUt7XYbwGiZHn3oXnnllej3+2FoTdvx4SrfX/1dls/kZ6iPQn25unLCJJfH5Nv37eSubx2mCTVWHZ8rl7uOPvSnaD6bhhZ1VOLa2hp6vd5EyDgSq3SyCCGEzILGiCw/KWXOpQDO59zYY7wQ0XmW9Fg/si2lNB5ppgJrbW0Nt91220S/bL5RXfcmEmf+oe6FVZTX5M8/J1RyLowKkUiE5I6zzlxdAaX5alH5MkGYO08tm/seACNhvLi4iCuuuAIigscffxzHjh0b9304HE5M/xBNT6Gi2U8N0u12s+dNCCGE1KUxIita7DgnrlSM+NFsVqREc2rZtvQ420YkjvR35JhEeV2RAKtyiFT8RSMo9bxtGNW2pdfNT+ip18IL0Qh7bt4Ni/rtt1mB5c8/ymPLnafvX25EqZ5vv9/Hvffeu66//lztQtteJNu8Nb2eq6ur4XUihBBCpqExIisK20T7c/lOVSEyi58AsyxM5dfwy+U3eUcqChfm+pib+FTrz0354IWlFUi5+iLsdchNSOrbLKs7J+py731OlN/n6wYmnU/gfBK+nVnez8kVteuvPSckJYQQMisaI7LK0IchgInkdSswbOinbNRbFDKK2vNCx9fhX9t6vSsXCQgriKomv4xmY8/laeWEi3+dC0FGIja6FlFYNHc96oQd/Yi/afKitM/2urdaLezduxf9fn/dBK56jBfuVY4jIYQQMg2NElk5hySlNB4ppvMteWGSUhqHzPxM4vaBauv2AkX3RaG+aB6uyJnJiZZoW3R8JDTsufppLiKHL9evSOxFospvs25QndnQI8EUtW/Fs93uy5SFLv01SWk0J1q328X+/ftx8uTJCTHuc9SqlukhhBBCNkpjRFZV6O7cuXPj/V6klIWb9HXk+kROhhcv9ngl9+CPykT5X/Y4fx7+mliHzrtlvi7/ukw45ARebrHnyKHKfVaRgxVNKmsXA4+ErdYVuXW2Pxoi1Nw1zdfS74zti/9sowlm6WYRQgiZBY0TWXUpy32ydebCgVHbZWE0f6wPMeXK5+bPKuuz74sNffpkcBVGdpRcri91zynqi/3t95eFMauOj4RnmejytNttdDqddeseelGl76M1I72wnva7SAghhEQ0QmSJjKYBsA/HshBRmdOix0QP7LLFlW0duQe/7vN16LZutzsOqXkXJxIsUS5QTohE/bD7FX8Nc+IhJ2jKhFYkqvT8cu3lXDYf3ovK1LkOmgCvSe/Rkj3R+UXOXbTQNSGEELJRGiGybM6MvgfKp0MoczfKHJu6LkVdcWfL6rxbueM0fGjFSFU4rE7f9fr5ZXRs/ZE4rHu+ZUIwpYROpzN+7afOKHMHvaBRseQFqO+TF6pWZFV9vnX2U2QRQgiZBY0QWcCki5B7wNpcnrIHqhUrUXityi2L3CJt1wqkyy67DAsLCzh+/DjOnj27Lr8ncnT0vKJpGXyIy56vHpNzkzQvyYdRIwctJ558H/yErrnr4j+L3PXMuWZeAJaNNPTXzTqg0fJJtv9W5EbnG302hBBCyEZpjMhSIuETOQt2uH5OcJU5Q3Z/LkTm24vmX9qzZw8uuugiHDhwAL1eDysrKzhz5sxEPVZE5MSICgZ7Pjp1Q26eLN/XXGjM9sE6Pzmx4cWhJpTnRK8VSr6sP8fcQIAykWbLeEFoZ3XX81Ki5XO8gPLn62eAJ4QQQjZKY0SWPnz9DOE+38i7PLacd4zqhn3qhBCtk6R9PXbsGE6cOIF2u42lpSXs3bsXALCysrIufJUTKPraO1BR3yPHyfcxOn8/TUIkYKM2vTDx7XuBkitrzzHXbrvdnhBM/rx8HyOBt7S0NLH4c5kjpS7dwsICVldXs58TIYQQslEaIbLU4dD8Hh+i0odoFOqJytr9VblMtg9l/dN2bB90jTxgJKx0TiYtpwtPD4fD8Si4c+fOTYgeIJ5YNep3Sgndbhftdns8yaY/By9QfQjWt6u02+3x4te5cF0kjNrt9njusjIxVBYC1mtjRZYN0epn3263x4IocsHOnTs38V1otVpYWFgAAPR6vYnPQV2wlZWVUIwSQgghm6URIisSSfowXFtbm3jw+wdhLgTnBZjfVxcvvlQI6TqKti37sO50Oti7dy9Onz49FlGDwWAsZnJ5TJF4sCHKTqeDpaWlsbjxyfY2HOjriQSZdaCinC89F+2/rcMuwhyFB3PX0NYvIusWc7aoWNXvgdYXOWk2F0u/O09+8pMxGAxw9OjRiWuTG8lKJ4sQQsisaITIAtaHdlqtFvbs2YPV1dV1D+DIMckJCXtM1QPUOl+R6IkSt+02KwCHwyFOnz49MS/TcDhct2izbvdt5Byq1dVVrKysjPvW7XbH10+Fg3eicudh22m321hYWECv15sQXtrnKJzohZVvIzexqT1mbW1tPM+Vijj/ufX7/bGoveyyyzAcDvH4449P5H55106XV3r44YcBAJ1OZ+yWqWj3Dml03QghhJCN0hiR5VlbW8Py8jKA9c5T5PbkXCormsoEU1Xo0Lsmds4tFVf6XsNSeh42ZFaWV5U7B5ss7oVFNAGpD9X5/ZFIbbVaWFpamshP8n1WQWIdI+ua+fa8+xi5VSKCvXv3YmlpCSdOnJioW9GRk8AoJKhCMBdSVbdQ29ZzeMpTnoJTp07h5MmTWF5eXifo/OdDCCGEbIZNiSwR+SKA0wCGAAYppeeJyCEAvwfgGgBfBPDqlNKJyo4U4R19YEehKH29tLSEAwcO4MYbb8Sdd96Je+65Z5yjZENb/thceC8iF0LS99YJGQwG68KYXmCoeNAJSyPBEY18A7DOebHCsdvtYmFhAWfOnMmGR/3aft6tA0ZzfJ04cWLdsf699tHXFeVhAZjI28o5j2fOnMHZs2ezTpKKSRHB6dOnx9sjpyylhAMHDowdsJRGye2XX345jhw5gv379+Paa6/Fgw8+iCeeeAJnz55Fv98fh2JTSlhcXFzXh7rM8p4gZCfAe4LsZmaR6fsPU0rPTik9r3j/JgC3p5RuAHB78b4SDUspuRwlFVD9fh933XUXjh49ipWVlYlQXNkQfH2Y1klyLgu5+T6pCPBTFFgBom3v27cPi4uLE/2wos67Zn6fpd/v4+zZsxPCr8qVKzvHXBlfv/5E85D562PDgFHYVkVn5Oy1Wq2JmfR1Gg2fv6fXUUcprqysjEOEl112GV70ohfhmc98Ji699FJcd911WF5eHrt3S0tL2Ldv3/hzmQEzuScI2UHwniC7EqnKUyo9ePQfyvNSSsfMts8CeElK6RERuRzAR1JKT6uoJ2l4zT9Aq2bxjvZFYSSfP7VRcvM82Xa1LRta0/d6vLowrVZr7ML5c4ocp+gcvVtWhT3WO4i6f3FxcSxYo6kQvIPlRZY/h1wdWtYe7/OrcudsxV5UZ7fbxeLiIlJK4xGQCwsLWFhYwPLyMjqdDrrdLg4ePIiU0lisPv744+j1ehuKG87qnjggh9IL5KUb6QIhM+ej6XacSsd5TxBSUPee2KyTlQD8mYh8XERuLrY9OaX0CAAUv58UHSgiN4tXVCuDAAAgAElEQVTInSJyp9kWNmIFUk48TXQqI6RsiGqjYqvsWFu/dWf0vU1O17J79uwZP+x97pNOW1DWFoB1IqnOOWg7OfFz2WWXTfQpKlN2PfVz8Ys12/16bFlo0oo8W85Pd+FFn86Dtbq6Op6+YTgc4uzZs3jiiSfG7mNKCQcPHsRVV12FVqs1LrsJZnJP9LG6mT4Q0iR4T5Bdy2YT31+cUnpYRJ4E4DYR+fu6B6aUbgFwCzDpZNkHth/V5sNonjKnKhfq0+Ny9eQE3rQizQoOO5rt5MmTE8nZti+5nCPbZ3ucTYL35+DDjrZ+L1g6nQ4efPDB8bbIvYvWGLQuk+5TsWOvgc3rivpp++ZDk37pIG3HjrLUHDZ//e01VAHX6/XwqU99at25bYKZ3BMH5BDnkiA7Bd4TZNeyKZGVUnq4+P2YiLwfwPMBPCoilxsb+LE6dUWj5Ew7E2IierD7cJWdx0odiypHxbbn28+VrYsVi9GUDVboqJCwIwntSD4vAG2fvCiN+q9tesdGr1Gv15u4zlbEWeGXux5etPnraPOn9Hp4ERuFie11arfbWFxchIiMw61eeNo67XnYPkYhx80wy3uCkJ0A7wmym9lwuFBE9onIRfoawLcAuAvABwHcVBS7CcAHpqw33G7dDD93k/7Y9QVtXTZZWkNw+qPJ57l2o35EzprdH51TnbCb4s/RnncUllP03Oq6b7m++n2dTgd79uwZ159zk+znoHV4AWnr9sfl8EJN69TPT/uis+vrtVhcXJwQhfZ6esE5C5E1r3uCkO0K7wmy29mMk/VkAO8vHlYdAL+dUvpTEfkYgPeIyOsBPADgVXUqU3FQ5WjVqUfLqvOi2/3cSTbhXEexqVukUw5E7pd1R3SfD715vCjxdSq5470jY9d6tHXZNmzITc8x9z4SV1r36uoqVldXJ1w3H+aL3EVbnx5jc8wiRy4KQ/rroPtOnTo1cQ11ySENF/Z6vXUOl51aQ0QmZpGfATO9JwjZAfCeILuaDYuslNL9AL4m2P44gKmGgPgHrGLf5wSWz/fx21ORAxUtY+O3Lyws4MCBAxgOhzhx4sR4ZvWy9m1fy8pEITQfurJ9itq018JP2mmFkp8WIhI93kHz18bXqe+jOnNlfX06D5XvhxdsFi8MyxxBO41HtN/2LQpRRuc1DbO8JwjZCfCeILudxsz4Hj3covyfXFktEz00o9wje4xuW15exsrKysTSN1Vt1tmvQg/AxEzwvg+2Hl9flARvhaXNn9Ljyxyz6Lpa9yhaI9KX9ft86NIL5E6nM54f7MyZM2OnyWM/R++OReFZTa6PxJWGhf0IzJzYnJGjRQghhDRDZEWOQrvdXvfQ9EKjSiiUPTAjURRNheDriOrPPbBz7emxZaPYvLsTva4KqUbXwIfhbPjNn1MkrHLOT1TeO5MaxrN5VBFl1zMSj2UuYrTodZ3PiBBCCNksjRBZQDw6zjsMufBZVE9ZMrVN3I5CkjkhErkoORFj+2D7PRgMwrrqCEI9LhJo1nmqCg9G/dJEcXWaNF+p3++PZ0fPXQfbTnT9NQSqc1XpcjfR+UeC259nFOosE9V2tKY9d53xXc/Tu2aEEELIZmiMyAImH9R+bb+qHKBcfTmXy7dX1pbfV+am+YT0KmHo3RV9+HuBWZYMHtWfc9tyfdm7dy8OHz6M06dPQ0Rw8OBBnD59OjvNg4iUhulyobnonHOCMyrjz79M/Npj9+zZM57tXddKTCmNF8S29WxyMlJCCCEEQENElg//6MMxGkFXx2mwD80ovGbzl3J1RgLM9yNqs2p0ob4uK2d/2+tgnRYrxPx+W0dZ+FTfdzodDIdDPPzww+P8pRMnTqxbq9Djk/mtuLGjNjudDvr9/rrjFxYWQkHtk/kjoarXwIaVo/BhSqOFog8cOIDrr78eq6ujWaMPHDiAY8eOjReH9tecEEII2SyNEFn6wNTXdjuQn1QzV5f+1np9knZuoksvyrwLpuKoTi6RHxWnv5eWlrB371488cQT4+OsSLDH2PP2zpgVaRqC9EvwlAlS7aPOkK5UjZK0/bIz2Ptt9jpq/zx+UeicO+nz8/S8fA5dLoleRHDixAl87GMfQ7fbRbfbRb/fDxelrrNwOCGEEFKHRj1Rcq6JnUy0Ch8+snVG4UP/OhJ5wMbWB4yEW7/fx+nTp8ciQfOfrJvS6XTGk6TWxdaRWy/QXwPvACmR4I3OTct6Z9AuqzMtOfEUhQlz+Oupk5bq8d1ud93nY9umo0UIIWQWNMLJAvJTGvjQmg8fVYXDvDMVvfZE+T9erPj2fVgyCjdq6Moe1+v1xiJgdXV1nOdUFsKM+msFgp/wM6qn2+1OLL7s619cXFw3xYLdb2fV18/ITiRa1mcrBu17+1rPxwq26FxU1Gl9/jPz4UhdMDqX91X2vSCEEEKmoTEiSx9sKjL8TN22XBQ+7HQ647CSX4TYt5HLAcvlAPl29dicmIqI+mwf6ioErFjJHR8JymiR6bLZ422OVJlLFAlTL1CsuKpyB6NrUHYdq9xD7xb674cdFZnrg18miBBCCJkFjRFZinet/MPbPzDteoU6i3eUE2WJ3Cn7vkxoaZv2AR7VG9VhBUEkhHIP+IWFBYjIePqDqM/W/fLhvjLhE/VxbW0NKysrYcjPrg0Z9dsmvNukdxvC9NNBlF2nMtHjr2FOCHtyAykosAghhMySxoksj83z8Q9EGyayD/fI0Ygoc4SikF3kdngxUPbAzoXRohCY/laxsrCwMJ5nKhcCzAnRqJ2coIyunb6O1j6M2rZ1aXK5XS7I98eGHKd1BqfF992uw8ikd0IIIbOkUSLLP6Dtg1vFBTD5UNaFn+3CvzYHR6cnKAsF+TwgYHKUWeQERcLAl43QRHedOsDXbUfn6T7Njep0Ouh2u+PFmqNrFYXKFDspZ07Y2dc+x8oer6MSfag1cuhEZDw1hJZV7PlG169MIPsJWMvCk164WnRhcJ+jRgghhGyGxoisyDHy++3D3o+gs7N527yufr8/kaSdyw/y+73j4ctW9bfsga/nEokLW5cmsA8GAwyHw3FIVOuJ1jPUOqL6fNtR/3z/NeQXCcAoH8pfH71+VpDlXC8rgOpMJeHDr7Z+f37WDfX9VWFlry0hhBCyWRojsi6++GKsrq6OlzfxD0TFOjEio6VfBoPBROjKT9Tp3RaLD4/Z7WVETlJZCFDxC0/b+Z+8MOr1euO6hsPh2KHTuv0yMUouH80LDO+kaUjSzms1HA7H00mo0LIjJD0a3vTzZUWvo+uUS6LXsl6oRXX4wRNWvEV5WFq2zO0khBBCpqUxImtlZWXdpJy50JsVFjbpHcDEdAhRvhUwmSTu873Kwn1ljpXFhrK8oKkSP1VtlAk6FUP+/KKQ3EUXXTQWtYpeM39O/X4fw+EQ7XZ77BT6Oba8o9Rut9FutyfCol5gRtfNnmPkUNnPIefiWSfQ12nr0uui4jU6d0IIIWSjNCLT1+bDRJOOlrkW+rC1Tot1gHzZ6KFt31c9aMv64oWBr9e/9nXmyljRZM/D7vNl9VpEYTcVQN796na72fO2fYgcJesIRcfaz7Xseue22eNyIjTnSNnPwztX0TkSQgghs6ARTpZ9ONulWhYWFtZN3gmMHBs/9UHkdqirYx+ouUlP67hIflvZVAb2wW9FgxdL0Yg279ioewTkl9CxoipqBxgt6ZPSaI6skydPTpybHTjgXSp9b0cK2v7ptbACRqeb6HQ6E/VbgejXPgTO56HpZ6wuk3fobPv+M9P++nCqdxj9Oej5M/mdEELILGiEyPIPXxURuRCbDUFFwkiJXB6/P+dMeZFUlgvkhZQ/NwDrErpzYcaoX+r05ZYW8uIg5wJpLls0r5TNY/LH2r7lXCX7GdrrZcVz1Gdbh32vYjI3bYQVgrmlcCLnLOqD1q+hZr9gNSGEELIRGiGy9AFn0QTraB0++9C1eUi2Pl8GwLqJPG156+JEYktf+we375etL9oWhbzKRIB9+NuEf1+vTmfRbrexuro6cQ20Xj/Luz3ejqzT+stmjLe/2+02ut0uOp3OeBLTaNoM/Yx9UrwPl2rdkdvkrzmAiXUJfT9zn58fSajbo0WjCSGEkI3QiJysCA055QSPvve5Nj704x+ytj678LQVFdO4IlG4LHLfcvlREf5c9Hi7P/rtRwb68v586pSr6qeGdbX9ffv24eKLL8bCwsK66S+63e7E4sxRmSqxlCsTYc+v1WqN3VF9778b0Wz2hBBCyEZphJMFTIbTgDhfKZox3K9xGOXheHHjQ1llDpSSy6myffPn4Psa9cG3qfNS2QRuHRQQOTv2eCsSc9M4+LJ2uxeK6p7ZkJ8XLrpdw5kayj18+DBWVlZw/PjxcR/OnTs3EeZVZ02dRuvUefzIRE3Ut3lbEVaAah1REr6WIYQQQmZFY0SWFwQ+qToSBf51mYjJhRQjNwPAhMgpy5/SstHcXGUhwZzDVraWYSTuovNWx8aKMys8/eucg+OdRF/Ght60Tl33UGep9/2K1qa0oeJo3rBIKOr0EJGz6J1EH4a0gk3PaWFhYSwWCSGEkFnQCJGlD007/5IdKae/1bnwuUn2oenFix7jBVxVorp/re8jN8mGoWz99qHt68olcNtttqwXUvYcrLjT/e12G3v37kWv18PKyko2pOrFiW3Li5lIoGm7KoT1t15znRai1+tNJLMvLi6O67X5Wz7kqm1oYr7+DAYDdLvd8bG6iLZO3+HzvnLotaK4IoQQMmsqE1BE5LdE5DERuctsOyQit4nI54rflxTbRUR+VUTuE5FPi8hz63ak3W5jYWFhIrznhUm0tpwVGxri0mVgVGR5EWTzr/wINyvuvJCx0xxEos7Wk7mWYZ9tfyKsg+VDiPrbvtbpEzQBXvtrRZV/ba+Lb0evk1/P0ZbzIxZVvOg19eFI7bPOa9bv9zEYDCa2WyfNi0wNq9p+6XYdKKBhSHu8DyXb/XXXLrxQ9wQh2wXeE4TE1MnyfRuAl7ttbwJwe0rpBgC3F+8B4BUAbih+bgbw63U70uv1sLy8PCGO/IM9Gmnol3Hxy8+og+IFkh5j83l8zpF3rVQc6MM454R518fWZ4VNmSCzRHlgVpx5F0hFSr/fR6/XWxfyU9dMj/X5X94pswMEvGCzdeki1ldffTXe/OY345prrsHq6uqEeAJGYvns2bPjJZHs8b5Pg8EA/X5//KPXfnV1FadPn8bKygpWV1exvLyMs2fPjsXlysrKutGp9trY69XpdLBnz551zmAJb8MFuCcI2Ua8DbwnyJT8+y/esdVdmDtS50EvItcA+OOU0rOK958F8JKU0iMicjmAj6SUniYiv1G8/h1frqz+VquV9u/fP14IWSnLPfLbI8Gj+7xbZc5ropwPk1lhkKtb3RRfhxI5PLbtKAyYO7/IgdG6omujIdilpSUsLS3hq7/6q/HQQw/h+PHj4xCZiioNueo5ebfPTlIanat35CKnqAlUTf4KjKdxKF1fZ973xAE5lF4gL53u5AiZEx9Nt+NUOs57gpCCOvcEsPEpHJ6sN0Tx+0nF9iMAHjTlHiq2rUNEbhaRO0XkTn0A52b19sPt9aFfd7h9lVjyyeFAfqSbFQudTgeLi4tjMWPObVy2TPyViT5g8jwjURb1KVefiGBxcXFi+aLFxUUcOnQIF1988cQi0HpN7PXQ8J+dkd3O/F52Xk0RWEA8J5nO8TWNuxgw03uij9WN9oOQpsB7gux6Zp34HimK8KmVUroFwC3AyMnS/CFgfb6PD1vZsFiUs2PrsO81tOWxIbSqh6x1lIbDIc6dOzcWHH5KCH3tw4S2jLbrBZbvvxeeVTlGwPkE+sOHD+NpT3sazp49i263i717945DcYPBAAcPHsRgMBgnje/ZswcHDhzAqVOn0Ol00Ov1xnlTrVYLS0tLWFhYQLfbxfLyMpaXlyfy2Kyj1TT8dRQ5P5XEnMTghu6JA3KoOcqUkNnCe4LsGjYqsh4VkcuNDfxYsf0hAFeZclcCeLhupZHQ8GLD5uxEeGFlt/mEehVuXrBF7fs+6P6U0nhuqOg8/NxTNn9M+1YWIozCcmXXzPZL67n44ovxXd/1Xbj33ntx+vRp7Nu3D6dOncKZM2ewtraGM2fOTEwqevDgQRw5cgRHjx4FAFx++eVYXV3FZz7zmYkEdT/iz1//7UDV9Z2CudwTZH7c+vAn8bIrnr3V3djJ8J7YZtz68Cfxt6t9/My1X7fVXdkxbDRc+EEANxWvbwLwAbP9tTLihQCeqIqzK4uLixNJ1IqKDZtw7kM+XuBED0ovbNSJUtEQuV56nHeobKgycqaUVquFvXv3jkNRWh+AiVGPPtzWbrfDubai87SCSo+z+1NKuP/++/GzP/uzeP/734+1tTV87/d+L575zGfiq77qq3Du3DmcPHkSvV5vPKHowYMH8axnPQvXX389rrvuOlxyySW4+uqr8dSnPhV79uxBr9fDuXPncPTo0bGLZcXWdhFavs+bdOBmfk+Q+UKBNXd4T2wzXnbFsymwZkylkyUivwPgJQAOi8hDAN4M4OcBvEdEXg/gAQCvKop/CMArAdwH4CyA19XpREoJKysr2t74t3dHvKCJ3JONuBI+h8q7S/51JKhs+1ZQnT17NtuuFVkq5nyo1LZr57Cy7lx0LpazZ89idXUVe/fuxf79+3HXXXfhzJkz6PV643r12OFwiPvuuw+HDh3Ci1/8YjzwwAO45557xnNcXXrppThx4kTppKk7nQtxTxCyneA9QUhMrdGF86bVaiUNVQGjh/b+/ftx6tSpXPlxArbmEXk3SH9H25UoHFkWjouulQ852j4qNrzo6/Lb7PtIQPk8tUhoah1+VOVFF12E/fv3Y9++fTh69Oh4egUr9g4dOoR9+/ah1Wrh2LFj4+kW7OhDmz+3U0kVowvnDUdSkSZRdyTVPOE9QZrEvEcXzhwfNtMkay+CgNHINp24VMnlBvkk59zrKGwXhcD8RKTRCEBFxaAKQtsnKxR9v3OjCctCcbkQqQ/l7du3D4cOHYKIjMOkdo6xpaWl8SztKqg0QX51dXWcJL6J3CVCCCFkV9CIZXUAjBOpVRicO3cOQBwS1AlHo5CVFUsqWHxSu81hss6QPT7KC9Pt3qWyM5Pb9qJRg1ouWm7H523l8rKqcp9yztzy8jLuv/9+fP7znx/vs5OyigiOHz+Oiy++GMvLy3j88ccnHLqtcK8ikU0IIYRsBxojsnxoywsdfa+j+bSsTzT3OV11lquJHCyLihEv4KKwZJQrZfOe9Dgr1HKCyYYE7TQRuYWMowEB0RJAtt9W7LVaLZw6dQonT55ctzj0VgmdsnYpwAghhDSZxoQLvSDKCZooCd2ODCsb5ZY71rahoT+/BqI9XkfhLSwslM4mnwupVeVm+WuiowY7nU64rmPklqWUxutBLi0tTbh2towVYtHM9RQyhBBCyMZohJNlE8dFZCwIgPNipd1uT6xJaH9rOWAyydwLNVvOYuvRPqiTk3PW7LQPPqznRwJaRypym2w/rPjR33YtQktZkr7WZxc9vuqqq3D11VfjjjvuGO+zjpjNt7LOYVNpct8IIYSQRogszXPyzpV9iNqFnK1AyYUDo8RxjxUz0TE+XKZl7Qzxil2o2gs0rds7RWUCsGzUod1ehl1CRxdBXlpaGotIixWGZflehBBCCKlHI0SWDxV6cRKN2ut0Ouj3++uOi9Y51H1eVOm+yImKEsy94+bdJpsgnwtVqphRJyzql/Y3crsiRyxKjLfnoS7YZz/7Wdx7770TZXMz3lNkEUIIIZujESLLUuby6OjDlNLY2Yocnmh0oH1d5ljlRgNGLpNOwaCuUJkTpKG4XBgxug7R6Ed7XHRsHefO9l3L62jNpq45SAghhGw3GiGy6oTCci6Ln64BwHjiTGD9hJ72uLJ2vVvl3Tbfjsj5eaeipH0viqJwpj9nTbC3+/U43R6FUb2Q9Inthw8fxtGjRymqCCGEkDnSCJEV5S8B54VO7phciC13jC1nicRPrj67zbpCmkju649CfnZfmZNlhZ22q24eMDknV9k5qsDS0ZI6B5nus6MyCSGEEDIbGiGygNjZ0bmh6s7ZVHc0oS/vHTDvBOXe6zabRO4Fos/dygm8OqMTbVsqwNSlikZDKpoAr8fqeoo2XEqBRQghhMyWxogsxTs/IoJutxuO2POvc8vw5NrRJW9s2KwsT8uLqzKnrdPphOLFiidgvUCz+6MJS/2kqPb4vXv3AgBWV1fXhQJtOJXuFSGEEDJ/GiOyrLCwwsXOexWJgkgklIXgfF1evNUZIWjLRZSFH8tEjT0uSo6PJj61oswOBrDbKaQIIYSQC09jRJYKg2jWceC8a2RH3Fnhocfo+263O3ZzbLK4CqtoWgSdFiJyy3y40Pc9CgdGjpMXXblZ1i1l4Usrwvr9fqnAU8HaxGT3ug4kIYQQsl1ojMgCJh2mspF/dl+73c7mUdl6rSjxLk9ZAroXKlV9jxLvfd9yLpkVkppnBZwXmJHjZqeN8MKx2+0ipYRer7fuXJoGBRYhhJCdRiNElgoT6zrZ11GI0I620+R4rUt/+zwr3R6t4wdgIsHeCxYAEwnydrsVPFF7XnjZnKhWq4VDhw5hdXUVZ86cWTeqUIncJ+vK7d+/H+fOnRs7cu12G1dffTVOnTqFxx57bN3ErYQQQgiZL41ZINq7LN6V8uE06+JYx0d/VDB5F8s7WnZ7zoHyeWK2f7YvKvh8W7a+6FyuuOIKLC4uZvsate/r0JGG2odWq4Vjx45heXm5NH+MEEIIIfOhEU6WovM+le23TpQf3ddutyfElT/Ou1S2LRVKdhoHLeOnY7DHKLY/foSkFVY+7CciuPfeezEYDCYcPd2nYb/V1dWwzzaUuLS0hMFgMJ4UdXV1FZ1OZ6IuhuUIIYSQC0NjRJYVJj5vKSdagDh0Z4+zLpCfD8uKOj+6MZeo7tvKlcklyPvyNglfJwztdrvo9XrjXCqdksFfl5QSut3uWBxqn3WmeHX5yiYtJYQQQsh8aITIsi5QbuQegHUuk66/p+HBnIhR58vPUaVlB4PBxNIzNvncO1p6jDpMNjTp8ULR52rZvqeUsGfPHjztaU/D133d1+HWW2/FF77whdJpGDQ82Ol0sLq6OiHC+v3+ukWoCSGEEHLhaITIAs6LEC+2vDDxjlOZQ+OneNA6rHvlR/5pGe9Oqeiy4Tq7bqDva9QX22/btp7D6uoqHnjgATz++OM4evRoKMqUbreLhYWFiakbFO/GUWQRQgghF57GiCwbnrPTEui2yFWyLpWix/mpDVR06D4rmPyowUicaTl7XDSjuohg7969+MZv/EacPn0ad999N86cOTMxh5U9Lw33ra2todfr4fjx4zh27Fipo6ftDAaDsYNnXbzFxUWklLCysjJxXSm0CCGEkAtHY0SWoiEwDXXZsJoXCTZPySeMq/Ok9eh2Oz1CWYhPxYmfINUKKyvkbHhxeXkZt956KxYXF7G8vLwuX0xzr5aWltDv99Hv9ydyqmxf7HHRNitKrWCL+usdO0IIIYTMj8opHETkt0TkMRG5y2z7ORH5soh8svh5pdn3kyJyn4h8VkReVrcjdvSeHxEXuUpR0rnF5jpZgVYWOvOhRP2tAkjr8YLPT7ugYuvcuXMTdfn+qsBSkVV1fey5a5+Gw+FYSKpA7Xa7AICLLroI+/btK62LTM+FuicI2S7wniAkpo6T9TYA/xHAO9z2X04p/aLdICLPAPAaAM8EcAWAPxeRp6aUShWEOjEqcnRSTbutqN+2NSGY/BQJ0ZqHPjHe//auj69T27H7dDLRpaUlfOUrX8m6Y4oer+KobMoK22ffX9+/Tqczvlb6s7Kysm6pHX9+ZEO8DXO+JwjZZrwNvCcIWUelk5VS+ksAx2vWdyOA300praaUvgDgPgDPr9HG+LcXHT7fSn97geAFSVV7ZY6WF2VAvJ6g9ndlZQVPPPFEWGeuTz4EGLl1Ws7XZcN+Kpa8YNNEersAtv8hG+NC3BOEbCd4TxASs5kZ339IRD5d2MSXFNuOAHjQlHmo2LYOEblZRO4UkTv9CL9IaFlRkxMMNj/LJoMX7U3U5/OWbBK8FzEA1jlj9vWZM2dw6tSpsdDRH+sy7du3D3v27EG73V63X9vQtnVZHLvP9tlPkOqv0WAwGC+jY9shc2dm90Qfq/PuKyEXAt4TZFezUZH16wCuA/BsAI8A+KVie/QkDy2TlNItKaXnpZSeB6x3c6pyruoQuWBaZ1kuly0XuVq2X/63b09DoXYmdi/4fD1eSEb1RqFTnTfMthWdP5kLM70nulicTy8JuXDwniC7ng2NLkwpPaqvReQ3Afxx8fYhAFeZolcCeLhmnVpfNlRXRyh4d8jXEdWTy3vy+6IyuT5pGZ2wVCcLjcjlZfn6fe6Vd/FOnz7NUOAWMY97gpDtDO8JQjboZInI5ebtdwDQESUfBPAaEVkUkWsB3ADgb+vWa90fDZeZNmu7WlJM4eBnePcCpEyQ5PKkbB9V9OjrSHz5xH1/bpHDFq21aPfp6MtprwuZH/O6JwjZrvCeIKSGkyUivwPgJQAOi8hDAN4M4CUi8myMLN4vAvgBAEgp3S0i7wHwdwAGAH5wmhEjKiLKRsLZkXWKzg2l4gqYzKEq+ha2JyLj+apy80vZ8gsLC+PcKzuaz7Zlp2M4e/YsAEws7WP7pBOqrq2tTczUbufnslNG6HI5eq327NmDfr+PlZUVulgXiAt5TxCyHeA9QUiMNOGhLCJJ3RkVIn5C0rKcqipHSstE9VhsqLFsaoUoFKniKMqh0sR3ERlPTmpH/fn6VGBFCzv7yVBV9PV6vdI+k+lIKW2pPXhADqUXyEu3sguEjPlouh2n0nHeE4QU1L0nNjO6cKbYkJgmiuemL8jlW9n8JH+MukJ2IeioPjuC0dZh8aKuapFoERCvWn8AABPJSURBVMHhw4fxpCc9aVy+rH7riEWunr1Oq6urEy4cIYQQQppBY5bV8aLFuk4+j8pOXlpWj5aJpl/w0z7Y11FfPGVJ777cYDDA/fffP7FN69yzZ8841Bcl4NtrYZ02dfr8ItU7mbrXnBBCCGkCjRBZZSP/7H7dF60f6OvJ1W9R0dJutyfyqKIwot2u4Uy7bE/UT9uGvvZ1aS6WDwtGCz/7xPiyfLOdyG45T0IIITuDRois3JQKubBgtN8u4qz7rAMU5Vvp8b1eb11ffAK+b6vT6UxMCmrL+Zwun6Rvt62srEwcp/va7fY4qV1Dpyml8bqEg8EgG6IkhBBCyNbTCJGlqCiy4iiagd2X031ah77XEX06Gs+WU3w91i3KuVTewbL1+HPJkcs3a7Va6Ha7SCmNc62sSNS2mYdFCCGENJvGiKwoxGZDasB5FwjARLguGjVoxVWn06kM69ltNhynrpQXc95F0rCjlskJID/PlhVmnU5nLLDW1tbWJf8Ph0P0+/11fd/OMM+KEELITqWRIit6b90r3W8doCgvq05yvCdytTR5vU7/fW5Vrl7FhiV1Znjdr6JNBZ3mbu0kKLAIIYTsVBojsoDJkXxR8rnO4t5qtdY5SdZFUvdK67RJ7Vq3T0b3AmgwGGQnRs29j5LntQ4vCr1Lp9gJSO10E/1+v3Q+MEIIIYQ0i0aILDtvVc6pUYEF5OePAianZvCixLtgmrxuJwa1x3pxZuvwrxXvnvnz8e6biim/XI7Wpf3baQ4WIYQQstNphMgCMOE8AZhwf1QQ2VF2KlKs8IocIh9iBM4LtigEWBbq80v21Dk2t9+7drbfNsldHSxCCCGEbC8aI7J8zpUVIWtra+j1emPHR8VRbt4p3afYMuoO2WT6hYWF8bI0PsHdhiij0KM/B9uOb99iR016oTgcDsfuFQUWIYQQsj1pjMgCMDG/VDS1ghdU0SSm0VQKdvFom8SuYUrrHtnj/JQRvq1oVKPvV/Te9rPb7Y6Fm136x48sJIQQQsj2ojEiS4WGn+LAJ7Rr6FBf62SelqrpIKwgs46ZDQl6V83iw492aolcmaiPfg4vbYeLPRNCCCHbn8aIrGiUXTRtAwAsLi6OpztQopnW/cSlkViy20VkXLd1u+wkoNFEqL6fHlvOjli0E4/aBHcKLEIIIWT70xiR5ZPAdeSfFzIpJaysrKzbB+TnzlpYWJjIp9KZ4FXMaBgRwERyvdZpf9u5qqyDZftn+9HpdMZTMPgpITTXTEUcQ4SEEELIzqERIsuG9FQAaRK47ve/y5wjWwY4L5xs4rsVaHv27FnnjHlskrrtm+2/FWI+V8sKO5sf5ufrIoQQQsjOoBEiy6ICSMOFdhHmxcXF8cg7j5/SwQqy3ELKWvbcuXOlYUYr6vyC0EqUAA9gor92PjCbdN/r9SiwCCGEkB3G+oztLSBKaAewbtTfYDCYECzAepdLj9EwXc4hsq6WFWHe6VKRZ+vwi1b788iNMsz1hS4WIYQQsvNojJOlI+18KNBPOKrv7ShA62ypKLLbbGgwmvZB91ls3lVuqgbrftl+qiiLQpq2ruFwSBeLEEII2aE0RmQBk0vhRDlP7XZ7LGx0JF5uaoZofiudWNSOFLTt2lCed6/8JKk6QWnVnFl+RKLmYvX7/QlXjkKLEEII2Vk0QmSJCJaWlpBSGjs7fn4r4PzIPj9RqNYRjTa07+02/xpAad1+WgVdc9An4+f64gVdNDqSEEIIITuHRogsFVd+HinvJvX7/fFrO0WCDRn6UJ7medkQXk6M2X02gd66Xj7xPVpyxx7rRxDa43x/CCGEELJzaITIArBuDisVT0De6UkphcLLv86F/XxYMneMvrdhQjvq0I9etKMjo7p8sj0hhBBCdh6VowtF5CoR+bCI3CMid4vIjxTbD4nIbSLyueL3JcV2EZFfFZH7ROTTIvLcOh1R4TEYDCZmPx8MBuNtWk7DbcD50YBW1ACTDlPRr3XTMfhjbDk/UlDzubRNK6C8YLPuVCTWKLC2NxfqniBku8B7gpCYOlM4DAC8MaX0dAAvBPCDIvIMAG8CcHtK6QYAtxfvAeAVAG4ofm4G8OtVDVhRouLKCxUrwHySu/1t8eFHHypst9vrJgWN3CefY5UTSva9FYpl5ci2ZO73BCHbDN4ThARUiqyU0iMppU8Ur08DuAfAEQA3Anh7UeztAL69eH0jgHekEXcAOCgil9doZ2LCT10k2YfhNBTX6XRw4MCBbEjObvMhQXWlciMZtZwVX9F8WT4xv+zcdFJSuljbnwt1TxCyXeA9QUjMVJORisg1AJ4D4KMAnpxSegQY3WAAnlQUOwLgQXPYQ8U2X9fNInKniNxpt0ej/7woUZFl90UhPr8/+q0hw1yoz4YCfcgxt5izT3Bvt9sTCfhk5zCve6KP/BJPhDQZ3hOEnKd24ruI7AfwXgBvSCmdKnFwoh3rrJuU0i0AbinqTlFulH2t81sBwJ49ezAcDvHEE09MlM05RFYg+Vng7aSldp+dzkHr9gLNnEuYD2b7rO9toj7Z3szznjggh2h3km0H7wlCJqklskSki9GN8+6U0vuKzY+KyOUppUcKm/exYvtDAK4yh18J4OG6HVLBYkN5NtEdAE6dOjUOG/q1Cl2/x8JK33vx5F0sL9h0tKOieVxaxq6t6JPh7cSpDBPuLC7kPUHIdoD3BCHrqTO6UAC8FcA9KaW3mF0fBHBT8fomAB8w219bjB55IYAn1C6ug3eEVCRFIUA/0jCHFUI2Ed7Wp6LNth2NWIz+M4vClH6aB7JzuND3BCFNh/cEITF1nKwXA/geAJ8RkU8W234KwM8DeI+IvB7AAwBeVez7EIBXArgPwFkAr6tqQETQ7XbH7xcXFzEcDnHu3DkACEN2epzP4fJiTIWVFWI2H0tzpvwi0Tbh3Qq9qC7vhInIeGShhgsptHYUc78nCNlm8J4gJKBSZKWU/hpx/BwAXhqUTwB+cCOdUdG0b98+rKysYHV1dd20C758NHeVxc6TFYm0druNffv24ezZs1hZWVm3ILS2YRPtI2EnIuh0OhPhxWj6BrL9uZD3BCHbAd4ThMQ0ZsZ36wYdO3ZsXQjOhgVVCOXyoWz4T+fBsmJnYWFhPOdWv9/HyZMnJyY3tb9t2FAdKt1v++GFVb/fH4u4OiFNQgghhOwsGiOyFO802ZGFZXNUeccolw9lj7PrEPoRjLYvKubUNbOCzCbo+6T5lEbLAw0Gg01cEUIIIYRsRxojsqwrpXNKaf5Tr9dbN1cVMLlUjs+Tss6Sd5HsYtQqrDQhXp0ofW+dLM2xsuJP87kAjPvbarXQ7XYxHA7HfS/DO22EEEII2f40RmSpQEkpYTAYTIge4LzT5IVVNFLQYsvYY/VHBZJ1m3yI0uZy+YWfy6ZnqBsipMAihBBCdh6NEVnqENn3PsymZayrZUWYJTcPVhTaswIuSlq3+VedTmfCWdOyXsARQgghZHcz1bI680JEcODAASwsLEwsrKz7FD93VZQHZeu0oik3N1a03U7boGjYUWdsj0YZaru5+bQIIYQQsntohJOlYkanbABGYmX//v0YDAYT28umc8iRO8a6Vl5URQLKh/9UxOkIQutu0dUihBBCdjeNEFmDwQDHjx8HMJkPdebMmfE2+6NhxEgIWazoiebb8jO8t9ttDAaDiaVzNEm+ahJUv53L6BBCCCG7m0aILGB6J0oF1DRCJgo9qvjyeVV2Kgd7vJ9PK3LU6GARQgghpDEiS4nyqFTIDAaDCVFTNnovcp+8qxVN++BFVLvdRqvVwmAwWLfsjh/9aPuuIcRIrBFCCCFk59OIxPccXigB6xPM9bU/JpfUHr3W9xri8yMTbVgxd3wk6gghhBCye2mck+VndfezsNtyZW5VmcjJrXcY1Wnnwcot36PlbB1ct5AQQgjZ3TROZFWF9KKy0XufrxWFGaOcrlyulaJ5XFpWBVUk1mx9hBBCCNldNE5kWZGjI/x87lVuZF8kjKwDlZtmQYmcMJtjpX2Jpnrw9VBcEUIIIbubxoksABNCx86qHuVB2XmqIofKHh8dG7WdE2tRaNC2YbdRZBFCCCG7m0aKLLuMTTTPFTASNnbdwUjo2Lr0tZ1vS0cO9vv9dcfkhFOVeCqbhZ4QQgghu4fGiCwvTNbW1rC6ujohkCxVuVO+Tp1sVImmf4hyqVQ0aZhQhV3Zcj7AKLzICUnrwfAqIYSQnUhjRFYOm1Qe5VV5cmsWqkiyos2ukeiJwn5VE6Dafmq/KR6q4TUihBCyE2mMyCrLZfLJ6vo7Ws7Gl7f0+/2JhHob/rNhRb/PtuFHFvpkeV2ah1M4EEIIIbubxogs5f9v735eJCnvOI6/P/PLhTHgryQk66IiG8h6UVnEg/eYvWxyWy8RIughAQUvRi/+AWogIIKiaEDiRSF7ycGIkFxiYhZZlWF1NQFXB00IxGUXJjO9Xw9VNT79TPV0t9nq6q76vKDpnqeruup5pr7w5amnnmfc7b9RUzNMMj9Weotv1JqGoyYyTXu88uOnvVZOrszMzAzmMMlK1SVOaQKTrj2Yfp/2MOU9T9U+1e3DfOLRatv9EqVqv7oB9isrRZNubW1NnWz59qKZmVl3zG2Std/A9nwS0LopG6rt0oWg816mfJ3C/POo4+fb5cngN+3NcoJlZmbWHXOXZOUJT934qnR6h7rkqq4XKx+0Xj1teOnSpX2fAtwv2csnS42I3YWkPY2DmZlZv41dIFrSIUlvStqQ9L6kB8vyxyV9Kumd8nUs2edXks5KOiPpR5OcSN0koHlZmrhUvUXVLcBU3YD4at/0CcPqN6aZQDTvKaubjb5K4OoWlrbFN6uYMFsUjgmzepP0ZO0AD0fEKUnfAv4u6fXyu19HxBPpxpKOACeAW4DvA3+U9IOI2LvKcyJPjPJep3QcVDqtQz5wfTAYDCVUowayA7u9TtXv5Lf90iRuaWlp5O3GPDn0rO+dN5OYMFsgjgmzGmO7WiJiMyJOlZ/PAxvAwX12OQ68EhFbEfEP4Cxwx37HyKdCqHqAqikRDhw4wPr6Ouvr67sDy/MeqLrkazAY7E6nMKaOIxOl6nN+GzDfNu3VSpND655ZxITZInFMmNWbKguQdCNwG/BWWfRLSaclvSDp6rLsIPBJsts5aoJN0v2S3pb0dl1vUqWa+f3ixYtcuHCB7e3toe/Tpwnz8vS2Yt34rOXl5dqxU6N+E9jzRGIuP05Z15Hb22JrKia22WrwrM2a45gw+9rESZakK4FXgYci4kvgGeBm4FZgE3iy2rRm9z33zSLi2Yg4GhFH89t75fGGBrAPBoPdKRay3xnqOcqTo3SG9zTh2tnZGVoiZ1QiVH23srLC2tranmOl0vFe437XFl+TMbHKFQ2dtVlzHBNmwyZKsiStUgTOyxHxGkBEfB4Rg4i4BDzH112954BDye7XA59NekLjEpNRUyykSdmoXq1KlWylSVndMavxWFWit7OzU3usdPB9day6QfHWHbOMCbNF4Jgw22uSpwsFPA9sRMRTSfn3ks1+CrxXfj4JnJB0haSbgMPAXyc4zp4nCaun9FZWVoYWd873W15e3pPUpElV1RO1uro6lFiNms9qaWmJtbW13fFf1Txbee9a9R0UiVv1yuvkHq1umVVMmC0Kx4RZPY17Ak7SXcCfgXeBKoN4FLiHogs4gH8CD0TEZrnPY8DPKZ44eSgi/jDmGP8CLgD//qYV6YDrcP3npf43RMS3R305o5g4D5z5/6qx8ObpmmjDPNXfMTEf5umaaMM81X/fmKiMTbJmpRwAf7Tt82iL69/v+ufcHm6Dvtc/5/ZwGyxi/T3HgJmZmVkDnGSZmZmZNWCekqxn2z6Blrn+lnJ7uA36Xv+c28NtsHD1n5sxWWZmZmZdMk89WWZmZmad4STLzMzMrAGtJ1mS7pZ0RtJZSY+0fT5NKNfs+kLSe0nZNZJel/Rh+X51WS5Jvynb47Sk29s788tD0iFJb0rakPS+pAfL8t60wTQcE92/HhwT03FMdP966GpMtJpkSVoGngZ+DBwB7pF0pM1zasiLwN1Z2SPAGxFxGHij/BuKtjhcvu6nWPtr0e0AD0fED4E7gV+U/+c+tcFEHBO9uR4cExNyTPTmeuhkTLTdk3UHcDYiPo6I/wGvAMdbPqfLLiL+BPwnKz4OvFR+fgn4SVL+2yj8BbhKw0tTLJyI2IyIU+Xn88AGcJAetcEUHBOFTl8PjompOCYKnb4euhoTbSdZB4FPkr/PlWV98N1qeYny/TtleafbRNKNwG3AW/S0Dcboc917eT04Jsbqc917eT10KSbaTrLqVk3u+5wSnW0TSVcCr1KsU/blfpvWlHWiDSbQ57qP0tk2cUxMpM91H6WzbdK1mGg7yToHHEr+vh74rKVzmbXPq67N8v2LsryTbSJplSJwXo6I18riXrXBhPpc915dD46JifW57r26HroYE20nWX8DDku6SdIacAI42fI5zcpJ4N7y873A75Pyn5VPTtwJ/LfqKl1UkgQ8D2xExFPJV71pgyk4Jgqdvh4cE1NxTBQ6fT10NiYiotUXcAz4APgIeKzt82mojr8DNoFtiuz7PuBaiiclPizfrym3FcWTNB8B7wJH2z7/y1D/uyi6cU8D75SvY31qgynbyzHR8evBMTF1ezkmOn49dDUmvKyOmZmZWQPavl1oZmZm1klOsszMzMwa4CTLzMzMrAFOsszMzMwa4CTLzMzMrAFOsszMzMwa4CTLzMzMrAFfAYpVqMfP8Bj5AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x1440 with 15 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's visualize some of the outputs \n",
    "data_aug_iter = val_ds.make_one_shot_iterator()\n",
    "next_element = data_aug_iter.get_next()\n",
    "\n",
    "# Running next element in our graph will produce a batch of images\n",
    "plt.figure(figsize=(10, 20))\n",
    "for i in range(5):\n",
    "  batch_of_imgs, label = tf.keras.backend.get_session().run(next_element)\n",
    "  img = batch_of_imgs[0]\n",
    "  predicted_label = model.predict(batch_of_imgs)[0]\n",
    "\n",
    "  plt.subplot(5, 3, 3 * i + 1)\n",
    "  plt.imshow(img)\n",
    "  plt.title(\"Input image\")\n",
    "  \n",
    "  plt.subplot(5, 3, 3 * i + 2)\n",
    "  plt.imshow(label[0, :, :, 0])\n",
    "  plt.title(\"Actual Mask\")\n",
    "  plt.subplot(5, 3, 3 * i + 3)\n",
    "  plt.imshow(predicted_label[:, :, 0])\n",
    "  plt.title(\"Predicted Mask\")\n",
    "plt.suptitle(\"Examples of Input Image, Label, and Prediction\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
